About the Role:* Apply deep learning techniques and neural networks to improve acoustic models for ASR* Innovate on state-of-the-art deep learning systems for speech recognitionRequirements:* Understanding of modern machine learning techniques* Experience with Deep Learning / Neural Network frameworks such as Tensorflow, PyTorch, Caffe, Torch, MxNet, etc.* Strong programming skills on Linux using C++ and/or Python* Solid knowledge of algorithms and probability / statistics* MS / PhD in Computer Science or Electrical Engineering or Statistics or equivalentNice-to-Haves:* Experience working with automatic speech recognition systems* Experience working with speaker identification and keyword spotting* Experience in computer vision and pattern recognition* Knowledge of DSP principles, noise reduction, echo cancelation
Oct 17, 2019
About the Role:* Apply deep learning techniques and neural networks to improve acoustic models for ASR* Innovate on state-of-the-art deep learning systems for speech recognitionRequirements:* Understanding of modern machine learning techniques* Experience with Deep Learning / Neural Network frameworks such as Tensorflow, PyTorch, Caffe, Torch, MxNet, etc.* Strong programming skills on Linux using C++ and/or Python* Solid knowledge of algorithms and probability / statistics* MS / PhD in Computer Science or Electrical Engineering or Statistics or equivalentNice-to-Haves:* Experience working with automatic speech recognition systems* Experience working with speaker identification and keyword spotting* Experience in computer vision and pattern recognition* Knowledge of DSP principles, noise reduction, echo cancelation
An AI top 50 startup is hiring a Senior VP of Machine Learning in San Francisco. With significant funding and a $1 billion contract already landed, the company is set to revolutionize the drug discovery and manufacturing market. The successful candidate will take immediate ownership of 15 person machine learning team and report directly to the CEO; a world-renowned AI leader. You'll be building a team responsible for researching, developing and deploying cutting edge machine learning models at petabyte scale. You'll also be responsible for establishing world-class software engineering standards. Candidates must have some experience in biology, coupled with demonstrable success in the field of machine learning/AI. Please apply for a confidential chat. Keywords: Machine learning, deep learning, computer science, electrical engineering, bioinformatics, artificial intelligence, biology.
Oct 17, 2019
An AI top 50 startup is hiring a Senior VP of Machine Learning in San Francisco. With significant funding and a $1 billion contract already landed, the company is set to revolutionize the drug discovery and manufacturing market. The successful candidate will take immediate ownership of 15 person machine learning team and report directly to the CEO; a world-renowned AI leader. You'll be building a team responsible for researching, developing and deploying cutting edge machine learning models at petabyte scale. You'll also be responsible for establishing world-class software engineering standards. Candidates must have some experience in biology, coupled with demonstrable success in the field of machine learning/AI. Please apply for a confidential chat. Keywords: Machine learning, deep learning, computer science, electrical engineering, bioinformatics, artificial intelligence, biology.
We are looking for an engineering leader to help manage and develop a team of passionate engineers who are working on Spunk's machine learning products and services. You thrive in a dynamic environment and have a track record of technical expertise and management responsibility. This role is not about instructing or developing a team member's work directly, but rather guiding and serving to ensure the happiness and productivity of the team. The primary goal of this job is to enable every team member to do the best work of their lives. Roles and Responsibilities: You will nurture an atmosphere of continuous improvement by serving as a coach, mentor, and technical advisor.You will diagnose and resolve systemic obstacles that prevent your team from delivering high-quality software.You will be consulted by product management to help determine priorities and the roadmap for your team.You will meet 1-1 with team members on a regular basis.You will plan and support career development.You will recruit and retain top-tier developers. Requirements: You have experience developing and delivering scalable, full-stack software solutions.You have proven people management and leadership skills, and a proven track record of mentoring and coaching team members.You are passionate about building and fostering good engineering practices and processes such as test-driven development, continuous integration and deployment etc.You have experience or a strong interest in using machine learning techniques to improve outcomes of a given software system.You have experience in developing and putting into production test automation and continuous integration and deployment (CI/CD) systems. Desirable technical skills and experience: You have expertise in developing software with container deployment and orchestration technologies at scale, with strong knowledge of the fundamentals including service discovery, deployments, monitoring, scheduling, load balancing.You have expertise in developing cloud services based on industry leading cloud platforms (e.g. AWS, GCP, MS Azure etc.)You have expertise in developing software with stream processing technology (e.g. Kafka, AWS Kinesis etc.) What We Offer You: A constant stream of new things for you to learn. We're always expanding into new areas, bringing in open source projects and contributing back, and exploring new technologies.A set of exceptionally talented and dedicated peers, all the way from engineering and QA to product management and customer support.A stable, collaborative and supportive work environment.We don't expect people to work 12 hour days. We want you to have a successful time outside of work too. Want to work from home sometimes? No problem. We trust our colleagues to be responsible with their time and dedication, and believe that balance helps cultivate an extraordinary environment.We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.Thank you for your interest in Splunk! Associated topics: chief program officer, cpo, manage, manager, management, monitor, product manager, project manager, relationship manager, task
Oct 17, 2019
We are looking for an engineering leader to help manage and develop a team of passionate engineers who are working on Spunk's machine learning products and services. You thrive in a dynamic environment and have a track record of technical expertise and management responsibility. This role is not about instructing or developing a team member's work directly, but rather guiding and serving to ensure the happiness and productivity of the team. The primary goal of this job is to enable every team member to do the best work of their lives. Roles and Responsibilities: You will nurture an atmosphere of continuous improvement by serving as a coach, mentor, and technical advisor.You will diagnose and resolve systemic obstacles that prevent your team from delivering high-quality software.You will be consulted by product management to help determine priorities and the roadmap for your team.You will meet 1-1 with team members on a regular basis.You will plan and support career development.You will recruit and retain top-tier developers. Requirements: You have experience developing and delivering scalable, full-stack software solutions.You have proven people management and leadership skills, and a proven track record of mentoring and coaching team members.You are passionate about building and fostering good engineering practices and processes such as test-driven development, continuous integration and deployment etc.You have experience or a strong interest in using machine learning techniques to improve outcomes of a given software system.You have experience in developing and putting into production test automation and continuous integration and deployment (CI/CD) systems. Desirable technical skills and experience: You have expertise in developing software with container deployment and orchestration technologies at scale, with strong knowledge of the fundamentals including service discovery, deployments, monitoring, scheduling, load balancing.You have expertise in developing cloud services based on industry leading cloud platforms (e.g. AWS, GCP, MS Azure etc.)You have expertise in developing software with stream processing technology (e.g. Kafka, AWS Kinesis etc.) What We Offer You: A constant stream of new things for you to learn. We're always expanding into new areas, bringing in open source projects and contributing back, and exploring new technologies.A set of exceptionally talented and dedicated peers, all the way from engineering and QA to product management and customer support.A stable, collaborative and supportive work environment.We don't expect people to work 12 hour days. We want you to have a successful time outside of work too. Want to work from home sometimes? No problem. We trust our colleagues to be responsible with their time and dedication, and believe that balance helps cultivate an extraordinary environment.We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.Thank you for your interest in Splunk! Associated topics: chief program officer, cpo, manage, manager, management, monitor, product manager, project manager, relationship manager, task
About TwitchLaunched in 2011, Twitch is a global community that comes together each day to create multiplayer entertainment: unique, live, unpredictable experiences created by the interactions of millions. We bring the joy of co-op to everything, from casual gaming to world-class esports to anime marathons, music, and art streams. Twitch also hosts TwitchCon, where we bring everyone together to celebrate, learn, and grow their personal interests and passions. We're always live at Twitch. Stay up to date on all things Twitch on Linkedin, Twitter and on our Blog.About the PositionTwitch is building the future of interactive entertainment. We are looking for an ML manager who is excited to solve challenging and open-ended problems in the creation of automated safety products. As the ML manager on Twitch's Trust & Safety team, you will build systems which help us better understand user behaviors and various types of user-generated content. You will be developing infrastructure for next-generation intelligent products using state of the art machine learning models by leading a world class applied science and engineering team. You will help ensure that creators and viewers on Twitch can build thriving communities by eliminating negative interactions (harassment, inappropriate content, etc).At Twitch, which is part of Amazon, you'll experience the benefits of working in a dynamic, entrepreneurial environment in the heart of San Francisco, while leveraging the resources of Amazon.You'll find a Requirements section below. If you meet all these then we encourage you to apply. If you only meet some of them but think this role sounds like something you'd be great at, we encourage you to apply. If you meet just one of them but think you'll bring something unique to the team, we encourage you to apply.Responsibilities* Manage a team of software engineers and applied scientists that designs, builds, and maintains ML systems which detect inappropriate/risky behavior and content on Twitch* Manage robust and highly scalable systems in order to stay ahead of exponentially growing demand* Influence and establish best engineering practices through strong operational excellence principles, architectural decisions, processes and tools* Provide leadership in an innovative and fast paced environment* Manage collaboration with cross-functional engineering teams to integrate safety features into products across TwitchRequirements* BA/BS degree in CS, Math, Stats, AI, or a related field or equivalent practical experience* 5+ years of experience in applied science, data science, or software engineering* 2+ years of experience building ML systems* 2+ years of experience in technical leadership and people management* Strong organizational, leadership, and communication skills* Passion for operational excellence and continuous process improvement* Experience in converting business problems to ML solutions* Experience in taking data and ML based solutions from research phase to final product implementationBonus Points* MS or PhD in CS, Math, Stats, AI, or related field* Demonstrated ability to lead engineers to deliver high quality technology products/services* Expertise in problem solving and analyzing large scale distributed systems.* Strong familiarity with the AWS ecosystem.* Experience with iterative, agile development methodologies (including scrum)* Experience in deploying/maintaining ML models in production* Experience in building/running large scale data pipelines and experience managing big data (e.g. RDBMS, Redshift, Spark, or similar technologies)* Familiar with deep learning frameworks such as TensorFlow, MXNet, and KerasPerks* Medical, Dental, Vision & Disability Insurance* 401(k)* Maternity & Parental Leave* Flexible PTO* Commuter Benefits* Amazon Employee Discount* Monthly Contribution & Discounts for Wellness Related Activities & Programs (e.g., gym memberships, off-site massages, etc.)* Breakfast, Lunch & Dinner Served Daily* Free Snacks & BeveragesWe are an equal opportunity employer and value diversity at Twitch. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Associated topics: chief program officer, cpo, manage, manager, management, monitor, product manager, project manager, relationship manager, task
Oct 17, 2019
About TwitchLaunched in 2011, Twitch is a global community that comes together each day to create multiplayer entertainment: unique, live, unpredictable experiences created by the interactions of millions. We bring the joy of co-op to everything, from casual gaming to world-class esports to anime marathons, music, and art streams. Twitch also hosts TwitchCon, where we bring everyone together to celebrate, learn, and grow their personal interests and passions. We're always live at Twitch. Stay up to date on all things Twitch on Linkedin, Twitter and on our Blog.About the PositionTwitch is building the future of interactive entertainment. We are looking for an ML manager who is excited to solve challenging and open-ended problems in the creation of automated safety products. As the ML manager on Twitch's Trust & Safety team, you will build systems which help us better understand user behaviors and various types of user-generated content. You will be developing infrastructure for next-generation intelligent products using state of the art machine learning models by leading a world class applied science and engineering team. You will help ensure that creators and viewers on Twitch can build thriving communities by eliminating negative interactions (harassment, inappropriate content, etc).At Twitch, which is part of Amazon, you'll experience the benefits of working in a dynamic, entrepreneurial environment in the heart of San Francisco, while leveraging the resources of Amazon.You'll find a Requirements section below. If you meet all these then we encourage you to apply. If you only meet some of them but think this role sounds like something you'd be great at, we encourage you to apply. If you meet just one of them but think you'll bring something unique to the team, we encourage you to apply.Responsibilities* Manage a team of software engineers and applied scientists that designs, builds, and maintains ML systems which detect inappropriate/risky behavior and content on Twitch* Manage robust and highly scalable systems in order to stay ahead of exponentially growing demand* Influence and establish best engineering practices through strong operational excellence principles, architectural decisions, processes and tools* Provide leadership in an innovative and fast paced environment* Manage collaboration with cross-functional engineering teams to integrate safety features into products across TwitchRequirements* BA/BS degree in CS, Math, Stats, AI, or a related field or equivalent practical experience* 5+ years of experience in applied science, data science, or software engineering* 2+ years of experience building ML systems* 2+ years of experience in technical leadership and people management* Strong organizational, leadership, and communication skills* Passion for operational excellence and continuous process improvement* Experience in converting business problems to ML solutions* Experience in taking data and ML based solutions from research phase to final product implementationBonus Points* MS or PhD in CS, Math, Stats, AI, or related field* Demonstrated ability to lead engineers to deliver high quality technology products/services* Expertise in problem solving and analyzing large scale distributed systems.* Strong familiarity with the AWS ecosystem.* Experience with iterative, agile development methodologies (including scrum)* Experience in deploying/maintaining ML models in production* Experience in building/running large scale data pipelines and experience managing big data (e.g. RDBMS, Redshift, Spark, or similar technologies)* Familiar with deep learning frameworks such as TensorFlow, MXNet, and KerasPerks* Medical, Dental, Vision & Disability Insurance* 401(k)* Maternity & Parental Leave* Flexible PTO* Commuter Benefits* Amazon Employee Discount* Monthly Contribution & Discounts for Wellness Related Activities & Programs (e.g., gym memberships, off-site massages, etc.)* Breakfast, Lunch & Dinner Served Daily* Free Snacks & BeveragesWe are an equal opportunity employer and value diversity at Twitch. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Associated topics: chief program officer, cpo, manage, manager, management, monitor, product manager, project manager, relationship manager, task
Pinterest brings millions of people the inspiration to create a life they love for everything; whether that be tonight's dinner, next summer's vacation, or a dream house down the road. Related Pins, a.k.a. \"More Like This\" is one of the largest content surfaces across Pinterest. It helps user exploration by recommending other content related to an initial pin and the user context, often helping Pinners discover the content they love but can't quite describe in words. We're looking for someone who will work on the full cycle of ML ranking for the Related Pins recommendation system. The goal is to leverage the cutting edge technologies in machine learning and deep learning to find high-quality content that is related to the current closeup pin.What you'll do:* Work with a group of friendly and experienced ML engineers to build the next generation ML ranking solutions to improve the user experience on closeup, including bringing in personalized recommendations, improving ranking quality, and scaling ranking infrastructure.* Design and develop machine learning models to predict user's intent on the closeup and enable personalized content retrieval in candidate generation.* Partner closely with other product teams, including Shopping, Content, Trust & Safety, to experiment with different algorithms and validate their effectiveness, while gaining knowledge of how ML works in all these products.* Use Big Data technologies (such as Hadoop, Spark, Storm) for building large scale data mining pipelines and identify product opportunities.* Develop processes and conduct live experiments to effectively evaluate ranking quality and impact on Pinner experiences.What we're looking for:* Ph.D. with 3+ years or Masters with 5+ years of software engineering/ML expertise and the ability to build scalable recommendation systems* Hands-on experience in content retrieval, personalized ranking, and user intent prediction.* Practical experience in machine learning, deep learning or information retrieval.* Experience in working with cross-functional product and engineering teams to understand requirements and incorporate them in the roadmap* Experience in working with large code bases, cross-team collaboration, mentoring other engineers, giving and getting feedback, and reviewing code/systems.* Experience with MapReduce/Hadoop and/or distributed systems.#LI-EA1 Associated topics: .net, application, backend, c c++, c++, c#, develop, programming, software development engineer, software programmer
Oct 17, 2019
Pinterest brings millions of people the inspiration to create a life they love for everything; whether that be tonight's dinner, next summer's vacation, or a dream house down the road. Related Pins, a.k.a. \"More Like This\" is one of the largest content surfaces across Pinterest. It helps user exploration by recommending other content related to an initial pin and the user context, often helping Pinners discover the content they love but can't quite describe in words. We're looking for someone who will work on the full cycle of ML ranking for the Related Pins recommendation system. The goal is to leverage the cutting edge technologies in machine learning and deep learning to find high-quality content that is related to the current closeup pin.What you'll do:* Work with a group of friendly and experienced ML engineers to build the next generation ML ranking solutions to improve the user experience on closeup, including bringing in personalized recommendations, improving ranking quality, and scaling ranking infrastructure.* Design and develop machine learning models to predict user's intent on the closeup and enable personalized content retrieval in candidate generation.* Partner closely with other product teams, including Shopping, Content, Trust & Safety, to experiment with different algorithms and validate their effectiveness, while gaining knowledge of how ML works in all these products.* Use Big Data technologies (such as Hadoop, Spark, Storm) for building large scale data mining pipelines and identify product opportunities.* Develop processes and conduct live experiments to effectively evaluate ranking quality and impact on Pinner experiences.What we're looking for:* Ph.D. with 3+ years or Masters with 5+ years of software engineering/ML expertise and the ability to build scalable recommendation systems* Hands-on experience in content retrieval, personalized ranking, and user intent prediction.* Practical experience in machine learning, deep learning or information retrieval.* Experience in working with cross-functional product and engineering teams to understand requirements and incorporate them in the roadmap* Experience in working with large code bases, cross-team collaboration, mentoring other engineers, giving and getting feedback, and reviewing code/systems.* Experience with MapReduce/Hadoop and/or distributed systems.#LI-EA1 Associated topics: .net, application, backend, c c++, c++, c#, develop, programming, software development engineer, software programmer
Who We Are: The team is made up of talented people from all over the world, and from many different backgrounds. We work together to apply research, and build products that reach every person on the planet. We look to apply best practices and build new machine learning capabilities which refine and transform Twitter's products. What You'll Do: We need someone who can lead diverse, smart, and driven researchers and engineers while balancing personnel challenges with business requirements. We're looking for a leader who can communicate fearlessly and take an active role in shaping the future of Twitter engineering while embodying our core values. You will work with our machine learning engineers and researchers to improve and enhance existing ML systems as well as discover new opportunities to apply ML to solve critical problems. Your responsibilities will include: Mentoring: Mentor the professional development of each direct report through personal and performance management. Establish regular 1:1s with direct reports. Craft individual improvement/goal plans with each direct report and ensure that they receive regular, documented feedback. Planning / Alignment: Plan and collaborate with other teams Twitter in delivering impactful changes, whilst working together with other Cortex teams for the long term. Provide oversight: Work with engineers and researchers to understand how everything fits together and how best to deliver meaningful impact. Understands when ML is applicable and when it is not, and what are the risks. Execution: Make decisions which balance between immediate impact and long-term bets, as well as managing resourcing and prioritisation. Relationship management: Help with managing relationship between other teams in Cortex which you'll partner with to deliver impact. Cross functional management: Work closely with other teams from across the company to deliver impactful projects which may involve multiple disciplines. Also work with other managers in the office to build upon the office culture and ensure a healthy workplace environment. Recruitment: Help hire new talent - help with sourcing and selling to candidates as well as vetting them for the team. Provide innovative solutions for both attracting and retaining top talent. Who You Are You are a leader and strong people manager looking to serve the team and achieve team goals. You are a strong source of engineering talent and are comfortable closing applicants for your team and the business. You are a coach who hires, develops and retains good ML Talent. You have technical competency and understand the \"big picture\", differences in technical disciplines (particularly on ML side), and which problems are for ML to solve and which are not You have proven execution track record that is customer-centric in prioritisation - looking to deliver projects that serve the company's needs and understand the impact You are a good communicator with clear and concise, active listening and empathy skills. You collaborate well with teams with different backgrounds / expertise / functions. You bring a strong perspective that motivates engineers to develop simple, pragmatic solutions to complex problems. You have the technical capacity to partner with tech leads and are comfortable diving into the fray to help drive resolution Requirements Previously managed a team of 5+ engineers with responsibility for machine learning based products and delivering to production. Computer science or engineering background strongly preferred; MS or PhD in machine learning or equivalent work experience a plus. Understand cost of software development / tech debt and long-term maintenance Experience driving impact through cross-functional leadership. Exceptional written and verbal communication skills. Strong analytical abilities You have a get stuff done attitude, have great positive energy, and thrive in a fast paced environment. You are passionate about technology and can keep up with the latest. Exposure to large scale systems and microservices team environment is a plusSalary Range: NAMinimum QualificationNot Specified years Associated topics: chief program officer, cpo, manage, manager, management, monitor, product manager, project manager, relationship manager, task
Oct 17, 2019
Who We Are: The team is made up of talented people from all over the world, and from many different backgrounds. We work together to apply research, and build products that reach every person on the planet. We look to apply best practices and build new machine learning capabilities which refine and transform Twitter's products. What You'll Do: We need someone who can lead diverse, smart, and driven researchers and engineers while balancing personnel challenges with business requirements. We're looking for a leader who can communicate fearlessly and take an active role in shaping the future of Twitter engineering while embodying our core values. You will work with our machine learning engineers and researchers to improve and enhance existing ML systems as well as discover new opportunities to apply ML to solve critical problems. Your responsibilities will include: Mentoring: Mentor the professional development of each direct report through personal and performance management. Establish regular 1:1s with direct reports. Craft individual improvement/goal plans with each direct report and ensure that they receive regular, documented feedback. Planning / Alignment: Plan and collaborate with other teams Twitter in delivering impactful changes, whilst working together with other Cortex teams for the long term. Provide oversight: Work with engineers and researchers to understand how everything fits together and how best to deliver meaningful impact. Understands when ML is applicable and when it is not, and what are the risks. Execution: Make decisions which balance between immediate impact and long-term bets, as well as managing resourcing and prioritisation. Relationship management: Help with managing relationship between other teams in Cortex which you'll partner with to deliver impact. Cross functional management: Work closely with other teams from across the company to deliver impactful projects which may involve multiple disciplines. Also work with other managers in the office to build upon the office culture and ensure a healthy workplace environment. Recruitment: Help hire new talent - help with sourcing and selling to candidates as well as vetting them for the team. Provide innovative solutions for both attracting and retaining top talent. Who You Are You are a leader and strong people manager looking to serve the team and achieve team goals. You are a strong source of engineering talent and are comfortable closing applicants for your team and the business. You are a coach who hires, develops and retains good ML Talent. You have technical competency and understand the \"big picture\", differences in technical disciplines (particularly on ML side), and which problems are for ML to solve and which are not You have proven execution track record that is customer-centric in prioritisation - looking to deliver projects that serve the company's needs and understand the impact You are a good communicator with clear and concise, active listening and empathy skills. You collaborate well with teams with different backgrounds / expertise / functions. You bring a strong perspective that motivates engineers to develop simple, pragmatic solutions to complex problems. You have the technical capacity to partner with tech leads and are comfortable diving into the fray to help drive resolution Requirements Previously managed a team of 5+ engineers with responsibility for machine learning based products and delivering to production. Computer science or engineering background strongly preferred; MS or PhD in machine learning or equivalent work experience a plus. Understand cost of software development / tech debt and long-term maintenance Experience driving impact through cross-functional leadership. Exceptional written and verbal communication skills. Strong analytical abilities You have a get stuff done attitude, have great positive energy, and thrive in a fast paced environment. You are passionate about technology and can keep up with the latest. Exposure to large scale systems and microservices team environment is a plusSalary Range: NAMinimum QualificationNot Specified years Associated topics: chief program officer, cpo, manage, manager, management, monitor, product manager, project manager, relationship manager, task
About the team We are responsible for processing and serving all Trulias For-Sale and Rental listings and much more. We drive the backend search experience for Trulia and provide fast access to listings as well as local data around it. Our goal is to provide new and updated listings to our users in near real-time and make the search experience amazing. We are a small team that believes in innovation, collaboration and transparency. Trulias culture is one of the companys biggest strengths. At Trulia people treat each other with respect and compassion, together cultivating a culture of collaboration, learning, accountability and fun. Theres a dedication to understanding the whole person, helping to build a collegian, trusting environment. About the role We are seeking passionate and creative machine learning engineer to lead development of our core machine learning platform for search team. You will be working on tacking challenging problems in information retrieval/ NLP domain and will be continuously innovating on areas such as NLP, Query understanding, Semantic Understanding, Intent classification, Search relevancy, Personalization, Predictive search, defining metrics and tracking, scalability to name a few. This includes a chance to: - Create high-visibility, modern semantic search products and drive innovation - Be a technical leader on Search relevancy algorithms, data mining, deep learning, recommendations and NLP,NLU - Understands the technical aspects of our products, connect technical work to business strategy, and have the skills to implement, communicate, and influence others and Collaborate cross-functionally with other teams across the organization - Be a technical leader and lead a team of software engineers, applied researchers and data scientist, Define technical standard and engineering cultures, conduct design reviews - Chance to contribute to building semantic search capabilities ground-up by developing entity disambiguation models, knowledge graphs, NLU, recommenders and relevance models . - Is responsible for modeling and deploying at scale ML solutions, discovering insights, and identifying and effectively communicating opportunities based on technical expertise and business strategy. Who you are Has a minimum of seven years of hands-on experience developing large scale Machine Learning (Deep learning, Reinforcement learning etc) applications. Has ability to write high performance production quality code. Proficiency in Python, Scala and other equivalent languages is a plus. You have experience with ML and NLP tools (like TensorFlow, spaCy, scikit-learn etc) Has good understanding of Search relevancy algorithms. Experience in LTR and/or personalization is good to have. Has experience building and productionizing innovative end-to-end Machine Learning systems. Has in depth understanding of common families of models, feature engineering, feature selection and other practical machine learning issues Get to know us Trulia's mission is to build a more neighborly world by helping you discover a place you'll love to live. Homebuyers and renters use Trulia's website and suite of mobile apps to get a deeper understanding of homes and neighborhoods across the U.S. through personalized recommendations, insights sourced straight from locals, and 34 neighborhood map overlays that offer details on commute, reported crime, schools, nearby businesses, and more. Founded in 2005, Trulia is based in San Francisco, and owned and operated by Zillow Group, Inc. (NASDAQ: Z and ZG). Trulia is a registered trademark of Trulia, LLC. At Zillow Group, we're powered by our inclusive work culture, where everyone has the support and resources to do the best work of their careers. Our efforts to streamline the real estate transaction is supported by our passion to empower people and enrich lives around everything home, a deep-rooted culture of innovation, a fundamental commitment to Equity and Belonging, and world-class benefits. But, don't just take our word for it. Read our reviews on Glassdoor and recent recognition from multiple organizations, including: Fortune 100 Best Companies to Work For (#69), Fortune Best Workplaces for Diversity (#38), Fortune Best Workplaces for Parents (#31), Fortune Best Workplaces for Women (#20), Fatherly's Best Workplaces for New Dads (#37), JUST Capital 100 Company (#69), Bloomberg Gender Equality Index constituent. Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. Therefore, we provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know. Associated topics: algorithm, backend, c++, c#, devops, php, programming, software developer, software programmer, sw
Oct 17, 2019
About the team We are responsible for processing and serving all Trulias For-Sale and Rental listings and much more. We drive the backend search experience for Trulia and provide fast access to listings as well as local data around it. Our goal is to provide new and updated listings to our users in near real-time and make the search experience amazing. We are a small team that believes in innovation, collaboration and transparency. Trulias culture is one of the companys biggest strengths. At Trulia people treat each other with respect and compassion, together cultivating a culture of collaboration, learning, accountability and fun. Theres a dedication to understanding the whole person, helping to build a collegian, trusting environment. About the role We are seeking passionate and creative machine learning engineer to lead development of our core machine learning platform for search team. You will be working on tacking challenging problems in information retrieval/ NLP domain and will be continuously innovating on areas such as NLP, Query understanding, Semantic Understanding, Intent classification, Search relevancy, Personalization, Predictive search, defining metrics and tracking, scalability to name a few. This includes a chance to: - Create high-visibility, modern semantic search products and drive innovation - Be a technical leader on Search relevancy algorithms, data mining, deep learning, recommendations and NLP,NLU - Understands the technical aspects of our products, connect technical work to business strategy, and have the skills to implement, communicate, and influence others and Collaborate cross-functionally with other teams across the organization - Be a technical leader and lead a team of software engineers, applied researchers and data scientist, Define technical standard and engineering cultures, conduct design reviews - Chance to contribute to building semantic search capabilities ground-up by developing entity disambiguation models, knowledge graphs, NLU, recommenders and relevance models . - Is responsible for modeling and deploying at scale ML solutions, discovering insights, and identifying and effectively communicating opportunities based on technical expertise and business strategy. Who you are Has a minimum of seven years of hands-on experience developing large scale Machine Learning (Deep learning, Reinforcement learning etc) applications. Has ability to write high performance production quality code. Proficiency in Python, Scala and other equivalent languages is a plus. You have experience with ML and NLP tools (like TensorFlow, spaCy, scikit-learn etc) Has good understanding of Search relevancy algorithms. Experience in LTR and/or personalization is good to have. Has experience building and productionizing innovative end-to-end Machine Learning systems. Has in depth understanding of common families of models, feature engineering, feature selection and other practical machine learning issues Get to know us Trulia's mission is to build a more neighborly world by helping you discover a place you'll love to live. Homebuyers and renters use Trulia's website and suite of mobile apps to get a deeper understanding of homes and neighborhoods across the U.S. through personalized recommendations, insights sourced straight from locals, and 34 neighborhood map overlays that offer details on commute, reported crime, schools, nearby businesses, and more. Founded in 2005, Trulia is based in San Francisco, and owned and operated by Zillow Group, Inc. (NASDAQ: Z and ZG). Trulia is a registered trademark of Trulia, LLC. At Zillow Group, we're powered by our inclusive work culture, where everyone has the support and resources to do the best work of their careers. Our efforts to streamline the real estate transaction is supported by our passion to empower people and enrich lives around everything home, a deep-rooted culture of innovation, a fundamental commitment to Equity and Belonging, and world-class benefits. But, don't just take our word for it. Read our reviews on Glassdoor and recent recognition from multiple organizations, including: Fortune 100 Best Companies to Work For (#69), Fortune Best Workplaces for Diversity (#38), Fortune Best Workplaces for Parents (#31), Fortune Best Workplaces for Women (#20), Fatherly's Best Workplaces for New Dads (#37), JUST Capital 100 Company (#69), Bloomberg Gender Equality Index constituent. Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. Therefore, we provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know. Associated topics: algorithm, backend, c++, c#, devops, php, programming, software developer, software programmer, sw
Job Overview: Interested in working with one of the largest fashion and e-commerce datasets in the world? Tired of prototyping machine learning models that don?t make it into production?? This is great time to be joining Macy?s as a machine learning engineer and be embedded in one of our lean labs that are responsible for personalizing the customer journey on Macy?s.com. You will help contribute to our large-scale, real-time machine learning ecosystem that enables our customers to find the most inspiring and relevant products on our website. For that we employ a range of machine learning techniques, such as: ? Real-time personalization recommendations ? Personalized search ranking ? Customer segmentation ? Deep learning computer vision models ? Deep learning recommendation models ? Contextual multi-arm bandits We use these techniques to optimize the content on our home page, return the most relevant search results and surprise our customers with interesting fashion products. You will be working in a lean lab setting. This means you will collaborate directly with data engineers, software engineers and product managers to bring your algorithms to life. These lab are empowered to move independently, so they can test models at a fast pace. We are looking for machine learning engineers that have a strong mathematical background and are capable of working with software engineers to implement new algorithms on our machine learning platforms. We are expecting candidates to have previously prototyped and scaled machine learning models in a related field. Great communications skills are important for sharing your insights and influence the teams. Furthermore, you should be comfortable working independently and have a strong focus on productionalizing new models. Perform other duties as assigned. Essential Functions: We work on relevance algorithms from information retrieval, machine learning and ranking to deliver a high-availability, low-latency service, which directly impacts business metrics. Your duties include: ? Responsible for proposing new models or improving our existing models in line with our business goals. ? Responsible for building machine-learning pipelines optimized for our production infrastructure. ? Responsible for the continuous evaluation of the quality of our machine-learning ecosystem. ? Discover trends and patterns in datasets to identify new opportunities. ? Support software engineers developing and evaluating machine-learning pipelines. ? Support analysts and product managers with advanced statistical analysis on log or reporting datasets. ? Contribute to sharing and developing best-practices. ? Contribute to our machine-learning development lifecycle process. ? Contribute to support systems including monitoring, reporting and serving solutions. ? Responsible for researching new trends in the industry and utilizing up-to-date technology. ? Work with cross-functional partners across the business. ? Regular, dependable attendance and punctuality. Qualifications: Education/Experience: ? PhD in computer science, mathematics or similar field or MS with at least 2-5 years of related experience. ? Deep knowledge of machine learning, information retrieval, data mining, statistics, or related field. ? Strong functional coding skills in Python, Scala, Java or C++. ? Strong preference for hands-on experience with TensorFlow, Scikit-learn, PredictionIO, Spark MLlib,? H2O or other ML Libraries. ? Experience working with large data sets and distributed computing tools a plus (Map/Reduce, Hadoop, Hive, Spark etc.). Communication Skills: ? Strong communication skills, both written and verbal. Mathematical Skills: ? Basic math functions such as addition, subtraction, multiplication, division, and analytical skills. Reasoning Ability: ? Superior ability to analyze and interpret the results of product experiments. Physical Demands: ? This position involves regular walking, standing, sitting for extended periods of time, hearing, and talking. ? May occasionally involve stooping, kneeling, or crouching. ? May involve close vision, color vision, depth perception, focus adjustment, and viewing computer monitor for extended periods of time.? ? Involves manual dexterity for using keyboard, mouse, and other office equipment. ? May involve moving or lifting items under 10 pounds. Other Skills: ? Willing to learn new technologies. ? Self starter, quick learner, keen observer, eye for detail and someone who relishes challenges. ? Strong analytical skills. Work Hours: ? Ability to work a flexible schedule based on department and company needs. Company Profile: As the fastest growing part of Macy's Inc. business, macys.com is achieving record sales and broadening our workforce. Macys.com offers the entrepreneurial culture of a web business with the stability and support of the best brand in retailing. Creativity and ingenuity partner with business acumen and tech savvy to build a unique business poised for substantial growth. If you're interested in being a part of that growth and want to know what it's really like to work at macys.com, get an inside look at ecommerce.macysjobs.com/ Our employees have long-term opportunities and are encouraged to utilize their Supervisors and Human Resources for cross-functional movement to further their careers. At macys.com we are committed to giving back to the community by partnering with local charitable organizations. By skillfully combining the power of digital technology and omnichannel integration with the best in retailing, macys.com is reaching new heights. This job overview is not all inclusive.? In addition, Macy?s, Inc. reserves the right to amend this job overview at any time.? Macy?s is an Equal Opportunity Employer, committed to a diverse and inclusive work environment.? Macy?s, Inc. ? including Macy?s and Bloomingdale?s ? will consider for employment qualified applicants with criminal convictions in a manner consistent with? SFPC Art. 49 ?and? LA MC ch.XVIII Art. 9 . Associated topics: apparel, bras, cutter, draper, dresses, model, oshkosh, pattern, sewer, texture
Oct 17, 2019
Job Overview: Interested in working with one of the largest fashion and e-commerce datasets in the world? Tired of prototyping machine learning models that don?t make it into production?? This is great time to be joining Macy?s as a machine learning engineer and be embedded in one of our lean labs that are responsible for personalizing the customer journey on Macy?s.com. You will help contribute to our large-scale, real-time machine learning ecosystem that enables our customers to find the most inspiring and relevant products on our website. For that we employ a range of machine learning techniques, such as: ? Real-time personalization recommendations ? Personalized search ranking ? Customer segmentation ? Deep learning computer vision models ? Deep learning recommendation models ? Contextual multi-arm bandits We use these techniques to optimize the content on our home page, return the most relevant search results and surprise our customers with interesting fashion products. You will be working in a lean lab setting. This means you will collaborate directly with data engineers, software engineers and product managers to bring your algorithms to life. These lab are empowered to move independently, so they can test models at a fast pace. We are looking for machine learning engineers that have a strong mathematical background and are capable of working with software engineers to implement new algorithms on our machine learning platforms. We are expecting candidates to have previously prototyped and scaled machine learning models in a related field. Great communications skills are important for sharing your insights and influence the teams. Furthermore, you should be comfortable working independently and have a strong focus on productionalizing new models. Perform other duties as assigned. Essential Functions: We work on relevance algorithms from information retrieval, machine learning and ranking to deliver a high-availability, low-latency service, which directly impacts business metrics. Your duties include: ? Responsible for proposing new models or improving our existing models in line with our business goals. ? Responsible for building machine-learning pipelines optimized for our production infrastructure. ? Responsible for the continuous evaluation of the quality of our machine-learning ecosystem. ? Discover trends and patterns in datasets to identify new opportunities. ? Support software engineers developing and evaluating machine-learning pipelines. ? Support analysts and product managers with advanced statistical analysis on log or reporting datasets. ? Contribute to sharing and developing best-practices. ? Contribute to our machine-learning development lifecycle process. ? Contribute to support systems including monitoring, reporting and serving solutions. ? Responsible for researching new trends in the industry and utilizing up-to-date technology. ? Work with cross-functional partners across the business. ? Regular, dependable attendance and punctuality. Qualifications: Education/Experience: ? PhD in computer science, mathematics or similar field or MS with at least 2-5 years of related experience. ? Deep knowledge of machine learning, information retrieval, data mining, statistics, or related field. ? Strong functional coding skills in Python, Scala, Java or C++. ? Strong preference for hands-on experience with TensorFlow, Scikit-learn, PredictionIO, Spark MLlib,? H2O or other ML Libraries. ? Experience working with large data sets and distributed computing tools a plus (Map/Reduce, Hadoop, Hive, Spark etc.). Communication Skills: ? Strong communication skills, both written and verbal. Mathematical Skills: ? Basic math functions such as addition, subtraction, multiplication, division, and analytical skills. Reasoning Ability: ? Superior ability to analyze and interpret the results of product experiments. Physical Demands: ? This position involves regular walking, standing, sitting for extended periods of time, hearing, and talking. ? May occasionally involve stooping, kneeling, or crouching. ? May involve close vision, color vision, depth perception, focus adjustment, and viewing computer monitor for extended periods of time.? ? Involves manual dexterity for using keyboard, mouse, and other office equipment. ? May involve moving or lifting items under 10 pounds. Other Skills: ? Willing to learn new technologies. ? Self starter, quick learner, keen observer, eye for detail and someone who relishes challenges. ? Strong analytical skills. Work Hours: ? Ability to work a flexible schedule based on department and company needs. Company Profile: As the fastest growing part of Macy's Inc. business, macys.com is achieving record sales and broadening our workforce. Macys.com offers the entrepreneurial culture of a web business with the stability and support of the best brand in retailing. Creativity and ingenuity partner with business acumen and tech savvy to build a unique business poised for substantial growth. If you're interested in being a part of that growth and want to know what it's really like to work at macys.com, get an inside look at ecommerce.macysjobs.com/ Our employees have long-term opportunities and are encouraged to utilize their Supervisors and Human Resources for cross-functional movement to further their careers. At macys.com we are committed to giving back to the community by partnering with local charitable organizations. By skillfully combining the power of digital technology and omnichannel integration with the best in retailing, macys.com is reaching new heights. This job overview is not all inclusive.? In addition, Macy?s, Inc. reserves the right to amend this job overview at any time.? Macy?s is an Equal Opportunity Employer, committed to a diverse and inclusive work environment.? Macy?s, Inc. ? including Macy?s and Bloomingdale?s ? will consider for employment qualified applicants with criminal convictions in a manner consistent with? SFPC Art. 49 ?and? LA MC ch.XVIII Art. 9 . Associated topics: apparel, bras, cutter, draper, dresses, model, oshkosh, pattern, sewer, texture
The Williams-Sonoma Technology organization is seeking an energetic and talented Lead Machine Learning Engineer to elevate our omni channel execution with machine powered insights. You will work on a broad spectrum of challenging problems ranging from optimizing site recommendations to transforming insights into our supply chain operations. At Williams Sonoma, we are revolutionizing our approach to omni channel retail through innovation, experimentation, and continuous testing of machine learning models. This approach is unlocking value and driving growth opportunities for Williams-Sonoma, West Elm, Outward, Mark and Graham and the Pottery Barn family. What you will be doing: * Work with internal customers on solving business-critical data-driven problems * Coach junior team members * Solve technical issues and shape an overarching strategy * Create proof of concepts and demonstrations on future opportunities and challenges for the company * Continue to learn /research about new things in ML * Make analytical recommendations regarding current and future projects * Be a pivotal member to vote for next years preferred coffee vendor -- really! REQUIREMENTS AND QUALIFICATIONS Required Qualifications: * MSc or Ph.D. in a STEM Field * Strong hands-on programming experience with Java, Scala, Python and/or C++ * 8+ years' work experience in Machine Learning, Data Science, or Software Engineering * Solid experience in technical leadership of products, people, and organizations * Proven experience in taking ideas to actual products * Deep understanding of data structure, performance optimization, and algorithms * Good knowledge of big data platforms such as Spark, Hadoop, Kafka, Hive, and ElasticSearch * Strong communication, analytical, and people skills. 14288Salary Range: NAMinimum Qualification8 - 10 years
Oct 17, 2019
The Williams-Sonoma Technology organization is seeking an energetic and talented Lead Machine Learning Engineer to elevate our omni channel execution with machine powered insights. You will work on a broad spectrum of challenging problems ranging from optimizing site recommendations to transforming insights into our supply chain operations. At Williams Sonoma, we are revolutionizing our approach to omni channel retail through innovation, experimentation, and continuous testing of machine learning models. This approach is unlocking value and driving growth opportunities for Williams-Sonoma, West Elm, Outward, Mark and Graham and the Pottery Barn family. What you will be doing: * Work with internal customers on solving business-critical data-driven problems * Coach junior team members * Solve technical issues and shape an overarching strategy * Create proof of concepts and demonstrations on future opportunities and challenges for the company * Continue to learn /research about new things in ML * Make analytical recommendations regarding current and future projects * Be a pivotal member to vote for next years preferred coffee vendor -- really! REQUIREMENTS AND QUALIFICATIONS Required Qualifications: * MSc or Ph.D. in a STEM Field * Strong hands-on programming experience with Java, Scala, Python and/or C++ * 8+ years' work experience in Machine Learning, Data Science, or Software Engineering * Solid experience in technical leadership of products, people, and organizations * Proven experience in taking ideas to actual products * Deep understanding of data structure, performance optimization, and algorithms * Good knowledge of big data platforms such as Spark, Hadoop, Kafka, Hive, and ElasticSearch * Strong communication, analytical, and people skills. 14288Salary Range: NAMinimum Qualification8 - 10 years