43 jobs found

Senior Machine Learning Engineer, Early Stage Pipeline, X Software Engineering Mountain View, CA We're an early stage team at X with a growing, interdisciplinary portfolio. To prove our path to the moon, we make early contact with the real world through both internal and external partnerships. In this role, you will be responsible for taking early stage investigations from an idea stage to first prototypes to a full-blown projects. You'll be rapidly iterating through a set of prototypes to evaluate possible product directions. This is an extremely dynamic role and requires high cross-functional communication, organization, and planning. The ideal candidate is a self-starter and has a track record of effectively operating in a dynamic loosely structured environment (e.g. startup, new products within a larger company). The candidate will work on multiple projects/investigations. Responsibilities: + Identify and implement a set of machine learning prototypes to aggressively de-risk projects building the whole solution: data acquisition, data processing pipelines, ML modeling. + Setup technical direction for investigations/projects working with the early stage leadership team. + Team lead investigations that grow to become projects. Qualifications: + Hands-on experience with machine learning, one or more of; natural language processing (semantic understanding, sentiment analysis), computer vision, time series analysis. + Experience with building robust data pipelines. + Tech Lead experience. + Startup or early-stage product development experience. Preferred Qualifications: + Experience with the Google Cloud Platform About X, the Moonshot Factory X creates radical new technologies to solve some of the world's biggest problems. We develop uncomfortably ambitious, potentially world-changing new ideas such as self-driving cars, balloon-powered Internet and smart contact lenses. We're a team of makers, entrepreneurs, engineers, designers and scientists with deep technical expertise who love the challenge of the seemingly impossible. We believe that a culture of psychological safety creates the foundation of trust and respect necessary to build moonshots. X was formerly known as Google[x] and is part ofAlphabet. At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please contact us at:...@x.team.

Senior Infrastructure Engineer - Machine Learning, Python Senior Infrastructure Engineer - Machine Learning, Python - Skills Required - Machine Learning, Distributed Systems, Python, Data Pipelines, Infrastructure Engineering, SPARK, NoSQL If you are a Senior Infrastructure Engineer coming from a Machine Learning/Python background, please read on! We are an early stage Series A funded startup (for profit), that has built an A.I. powered platform to optimize workflows and decision making in the supply chain and consumer marketplace. Our results are powerful - we have demonstrated the potential to double profits and reduce waste by 50%+! Located in the Mission District of San Francisco, CA. **What You Will Be Doing** - Building infrastructure that enables deploying machine learning models over billions of historical data points collected from tens of thousands of retail stores across the US. - Developing data pipelines powered by Apache Spark and other modern big data processing systems. - Developing a data backend comprised of transactional, analytic, and NoSQL databases. - Maintain a data lake that supports fast and reliable analytics over terabytes of data. - Design backend infrastructure powering a mobile front-end that will be used daily by tens of thousands of store operators. - Helping maintain tools for monitoring the performances of machine learning models at scale and ensuring the integrity of incoming data feeds. **What You Need for this Position** - 5+ years working experience - BSCS or related (MS or PhD is ideal) - Machine Learning - Python (either: numpy, scipy, pandas, scikit-learn, matplotlib, tensorflow, keras, pytorch. - Spark is highly preferred - NoSQL Bonus points for: - Distributed Systems - AWS **What's In It for You** - HUGE room for growth - Great pay - Full benefits - We have MULTIPLE similar roles open so if you even match this role 50%, apply! So, if you are a Senior Infrastructure Engineer, Machine Learning with experience, please apply today! Applicants must be authorized to work in the U.S. **CyberCoders, Inc is proud to be an Equal Opportunity Employer** All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law. **Your Right to Work** - In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. *Senior Infrastructure Engineer - Machine Learning, Python* *CA-San Francisco* *BJ1-1557364*

Role: SAP Plant Maintenance Location : San Francisco, CA Must Have Skills 1. SAP PM 2. project execution 3. Testing Detailed Job Description: SAP Plant maintenance consulting who can convert business requirement to SAP Functional requirement and work with Technical team for Build and test. - provided by Dice Associated topics: business analyst, consultant, data analyst, hris, information systems, information technology, kronos, peoplesoft, sap hanna, system analyst

*Posted Date:* Oct 14, 2019 * We have an opening for a full-time *Technician, Service *position. * *Location*: Canteen Hayward - 20929 Cabot Blvd, Hayward, CA 94545. /Note: online applications accepted _only_. **/*/Mobile applications are accepted**/* * *Schedule*: F/T Schedule; 4:00AM - 12:30PM or 5:00AM - 1:30PM. * *Requirement*: Previous tech experience is a plus! *WE MAKE IT EASY!* * You can now *chat or text-to-apply*, in addition to our standard online apply. Just text *JOB* to *75000* & search for the requisition ID number 331552 . Click here to view more. * You can now *prerecord video introductions.* Be more than just words on a resume and get in front of the hiring manager faster. Click here to get a sneak peek preview. If you have a positive attitude and a love for learning, you may be interested in joining our team. Canteen is a national vending machine operating company offering vending, office coffee service and dining services through a company and franchise network of over 200 locations in 48 states. Canteen's track record of innovation began in 1929, when company founder Nathaniel Leverone built his business strategy around three timeless principles: integrity, customer focus and innovation. *Full time associates at Canteen are offered many fantastic benefits such as:* * Medical * Dental * Vision * Flexible Spending Accounts (FSAs) * Commuter Benefits * Wellness Program * Employee Assistance Program * Life Insurance for Associates and Eligible Dependents * Short Term Disability (STD) and Long Term Disability (LTD) * Accidental Death & Dismemberment (AD&D) Insurance * Discount Marketplace * And other voluntary benefits Job Summary *Summary:* Repairs, maintains and assists in the installation of vending machines and equipment. *Essential Duties and Responsibilities:* * Responds to dispatch calls for machine repairs using company-owned vehicle. * Calls on existing customers to determine adequacy of service; listens to and resolves service complaints. * Visually inspects and listens to machines to determine causes of malfunctions; dismantles machines to gain access to problem area. * Inspects parts to detect wear, misalignment or other problems; removes and replaces worn or defective parts; repairs broken parts; realigns and adjusts components; tests machine operation following repair. * Reviews inventory and orders parts; ships and receives machines; maintains equipment inventory. * Prepares machines for installation at accounts; assists in installations and removals. * Sets up and operates mechanical equipment and small hand tools, such as drills, grinders and welding torches, for machine repair. * Performs other duties as assigned. * About Compass Group: Achieving leadership in the foodservice industry* Compass Group is an equal opportunity employer. At Compass, we are committed to treating all Applicants and Associates fairly based on their abilities, achievements, and experience without regard to race, national origin, sex, age, disability, veteran status, sexual orientation, gender identity, or any other classification protected by law. Qualified candidates must be able to perform the essential functions of this position satisfactorily with or without a reasonable accommodation. Disclaimer: this job post is not necessarily an exhaustive list of all essential responsibilities, skills, tasks, or requirements associated with this position. While this is intended to be an accurate reflection of the position posted, the Company reserves the right to modify or change the essential functions of the job based on business necessity. /*Los Angeles applicants: Compass Group will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring (Ban the Box ordinance)./ Req ID: 331552 Hourly Associated topics: calibrate, diagnose, field service, field service technician, machine maintenance, maintenance, maintenance technician, mechanical, millwright, upgrade

AI Research team is seeking highly qualified applicants for the position of Machine Learning Engineer. Our team pursues research & development in the areas of machine learning (ML) with particular focus on deep learning (DL), computer vision (CV), Natural Language Processing (NLP), optimization, statistics, data analysis and reinforcement learning (RL). As a member of the team, you will work closely with the researchers in order to integrate our research efforts into software packages that can be adopted by users inside and outside Apple. You will be responsible to define software paradigms that are suitable for incorporating research efforts and accommodate the needs of our internal and external customers. You will collaborate with other Apple teams to understand their needs, identify which in-house research tools can be used, and help them to develop fast prototypes that leverage our research progresses. In addition you will impact future Apple products, and collaborate with the best product teams to integrate our research efforts into products that are used by millions of people. Key Qualifications Key Qualifications Knowledgeable about ML topics. Passionate about software development. Experience with Python and C/C++. Objective C and Swift are a plus. Interest and ability to learn other coding languages as needed. Experience with GitHub, and continuous integration tools. Experience with design patterns. Excellent communication skills. Team worker. Description Description You will help the research team to design software packages that will allow the rest of Apple and the world to take advantage of our research efforts. You will provide technical mentorship and guidance on how to design high quality software. You will have the opportunity to collaborate with broader teams across Apple to transfer AI/ML solutions. You are self-motivated, excellent problem solver, and a fast learner. You are quick to forge relationships and comfortable with change and ambiguity. You have strong software development background with experience crafting, prototyping, and delivering software solutions. You will help to identify the needs of partner teams, and help them adopting our research solutions. You will communicate with the research team about partners needs that are not currently matched by our solutions. You are a strong team player, able to handle multiple deadlines. You will be responsible to deliver ML technologies aligned with the core values of Apple, ensuring the highest standards of quality, and respect for user privacy. Education & Experience Education & Experience MS degree in Computer Science, similar technical field of study or equivalent practical experience. Associated topics: .net, application architect, architect, develop, devops, expert, lead, maven, perl, programming

The people here at Apple don't just build products - we craft the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that supports the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple and help us leave the world better than we found it.We are seeking a Senior Machine Learning Engineer to lead & develop Machine Learning and AI platforms to augment and improve the customer experience in Apple Retail. In this role you will partner with product managers, engineers and scientists to solve product related machine learning problems using AI technology, perform experiments and optimize the solutions. You will be responsible for :* Collecting data, perform data preprocessing and define performance indicators. - Working with machine/deep/reinforcement learning models and trying to optimize/customize them for new applications. - Developing production-ready software with scalable, fast and efficient algorithms.Key Qualifications* 8+ years of software development experience.* Excellent Python/Javascript/Spark coding skills, Swift is a plus.* Demonstrable experience crafting, designing and maintaining backend APIs and web services.* Experience working with large, real world data.* Knowledge of testing, version control, and continuous integration.* Experience with machine learning tools and libraries such as Scikit, TensorFlow, MXNet* Knowledge of machine/deep/reinforcement learning algorithms and modeling techniques.* Experience developing low latency, high throughput machine learning inference engine for models such as neural network is a plus.DescriptionTo be successful in this position, you should Be a self-starter, driven, accountable and a highly upbeat teammate. Have strong writing, data visualization and communication skills with the ability to communicate complex quantitative analysis in a clear, detailed, and actionable manner to senior leaders.Education & ExperienceBachelor's Degree Minimum Masters Degree Preferred

looking for SAP Plant Maintenance Functional Consultant @ SFO, CA Summary Client is in need of an SAP Plant Maintenance Functional Consultant, Who will be responsible for providing SAP PM support to business stakeholders. Support includes assistance with technical system issues as well as business process issues. In addition, Consultant is responsible for identifying and implementing system enhancements, testing requested system changes, and facilitating driven projects. The Consultant will be a member of the technical and production team. Essential Duties and Responsibilities include the following. Other duties may be assigned. Thorough understanding of SAP as it applies to PM data Understanding of requisition and purchase order creation in PM Functional Locations, Equipment, Equipment BOM s, Task Lists, Items and Plans, MRO s, Contracts Familiarity with SAP BW Purchasing Reports Ability to listen carefully to internal customer feedback and effectively translate that information into requirements Strong interpersonal skills must be able to work effectively with end users, stream members, cross stream teams, and other resources Strong analytical skills and Experience training others on how to use the system Reliability Excellence process exposure Excellent communication and relationship building skills Education and/or Experience Bachelor s degree in business, computer science or related education/experience. Advanced skills with data analysis and problem solving. Advanced skills and knowledge of technical documentation. Strong analytical abilities, communication and interpersonal skills Strong time management skills, ability to multi-task and work in a team environment. Excellent verbal and written communication skills with a strong focus on customer facing interaction, customer service, and presentation. Self-starter with leadership qualities who can work independently and in teams on tasks and projects with limited supervision. Ability to provide quality business solutions within compressed timelines and delivery dates. Ability to communicate effectively at appropriate levels (end users, factory managers, peers, upper management) Ability to partner with internal customers to achieve results (as opposed to imposing solutions) Ability to generate accurate effort estimates and deliver results on schedule Ability to review functional specifications Able to work independently and communicate risks, potential problems and appropriate resolutions to supervisor Associated topics: business, business analysis, business systems analyst, client, consult, customer, market, sales, sap, senior consultant

Design, develop, troubleshoot and debug software programs for databases, applications, tools, networks etc.As a member of the software engineering division, you will take an active role in the definition and evolution of standard practices and procedures. You will be responsible for defining and developing software for tasks associated with the developing, designing and debugging of software applications or operating systems.Work is non-routine and very complex, involving the application of advanced technical/business skills in area of specialization. Leading contributor individually and as a team member, providing direction and mentoring to others. BS or MS degree or equivalent experience relevant to functional area. 7 years of software engineering or related experience.Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.About Us and the ProductAre you passionate about leveraging data to drive decisions? Do you love to find patterns in large data sets? Do you dream of building something completely new from ground up? At Oracle, we are venturing into brand new offering in Enterprise Performance Management called Intelligent Performance Management leveraging machine learning and predictive analytics. The offering would add value to Oracle's existing suite of EPM Applications. The product is planned to be deployed on Oracle Public Cloud.Oracle's market-leading Enterprise Performance Management (EPM) applications-combined with the innovation and simplicity of the cloud-enable companies of any size to drive predictable performance, report with confidence, and connect the entire organization.ResponsibilitiesData scientists looks at data collected from disparate sources and analyze it from various angles, make inferences and eventually recommend certain application of data that helps make appropriate business decisions.The data scientist would study the EPM Applications offerings in-depth, explore the insights that the Applications data provide and envision adding new dimensions to the offerings using what-ifs, predictive, big data and other advanced analytics. In the process data scientist would leverage his / her knowledge of statistical analysis and data visualization in coming up with the recommendations.About the Successful CandidateThe successful candidate is a self-motivated technical leader who can deal with complex problems without supervision. She/he is a curious person in finding patterns and insights in massive unknown data sets. She/he needs to help define and design the first generation of Intelligent Performance Management features.. Qualifications for this position are:Must qualifications for this position are:* Overall 10 to 15 years' experience in* Data mining and data sciences* Data modeling, hypothesis testing, statistical, mathematical, predictive modeling, machine learning* Using time series analysis techniques* Building forecasting models for financial & operational use cases* Effective communication skills and strong problem resolution skills* MS or PhD or equivalentDesirable qualifications for this position are:* Familiarity with Python, R* Working knowledge of Oracle Essbase & Oracle EPM Suite of Products* Ability to build and test analytic models* Knowledge of analytic methods such as clustering, association rules and decision trees* Experiences with Big Data technologies Associated topics: bras, childrenswear, dresses, fashion, garment, model, oshkosh, pattern, pattern drafting, textile

Tinder is seeking world-class machine learning experts to join our engineering team. You will be working with a team of talented engineers and researchers to develop core machine learning algorithms for improving the unique user experience available only at Tinder. You will have tons of responsibility, freedom and an opportunity to have a direct and immediate impact on company growth. We would love to talk to you if you are passionate about helping Tinder users achieve more matches, communicate more effectively, and create more love at a truly global scale.This position will be located at our new office in downtown San Francisco!In this Machine Learning role, you will:* Evolve existing machine learning pipelines and systems in production* Design and implement machine learning algorithms for recommendation and personalization* Develop machine learning models to derive insights and improve product iterations* Create new product features using state-of-the-art machine learning techniques* Work with engineering, analytics and product stakeholders to deliver meaningful impact on cross-functional projects* Some of the problems you'll work on:Personal Recommendation. The user experience at Tinder is unique and highly personalized. You'll apply a range of algorithms to personalize recommendations in feed, from the latest in Neural Nets, to collaborative filtering, to explore/exploit approaches, such as Multi-armed Bandits, to bring the highest quality dating experience to tens of millions of users.Anti-Spam. Now that Tinder has more than 100 million users in over 190 countries, we have some unique challenges in protecting the Tinder ecosystem from spammers. How do you model spammer or bot behavior with different intents? How do you detect a botnet stealing Tinder users profile information?Image Understanding. Tinder hosts hundreds of millions of profile pictures. A better understanding of images will not only help us avoid inappropriate content, but also understand user interests and preferences in absence of explicit user input. The state-of-the-art computer vision techniques, such as Convolutional Neural Nets (CNN), will be applicable here.Dialogue Understanding. People talk after they match on Tinder. How do you suggest conversation topics to break the ice? Can we detect when a dialogue goes awry? There are huge opportunities for natural language processing in Tinder.We're looking for:* MS (PhD preferred) in Computer Science, Statistics or related discipline* 4+ years programming experience in languages such as Python, Scala or Java* 4+ years industry experience in a range of classification and optimization problems including but not limited to recommendation systems, search relevance, fraud detection, spam detection, etc.* Strong track record of delivering critical business impact in cross-functional projects* Expert knowledge with statistical analysis and methods* Experience with Spark Streaming, Spark MLlib, Python NumPy, SciPy, Scikit-learn, and R* Experience with large-scale distributed systemsAs part of our team, you'll enjoy:* The hustle of a startup with the impact of a global business* Tremendous opportunity to solve some of the industry's most exciting problems* Working with an extraordinary team of smart, creative, fun and highly motivated people* Comprehensive health coverage, competitive salary, 401(k) match and meaningful equity* Unlimited vacation and flexible working hours* Daily catered lunches/dinners, endless supply of snacks/refreshments, fitness classes, and social events* Modern, uplifting work environment in an ideal location Associated topics: .net, backend, c c++, c++, c#, develop, php, python, sdet, sw

Snapchat is the camera used by millions of people every day to Snap with family, watch Stories from friends, see events from around the world, and explore expertly curated content from top publishers. In short, we are a passionate team working hard to build the best platform in the world for communication and storytelling.We're looking for a Machine Learning Research Engineer to join Team Snapchat! As a member of the Augmented Reality Team, you will train state-of-the-art machine learning models. You will collaborate with researchers, engineers, and designers and find new ways to apply machine learning to create exciting products and breakthrough interactive experiences for 100s of millions of Snapchatters around the world.What you'll do:* Design and implement machine learning and computer vision solutions to be used by millions of Snapchatters* Develop deep architectures and optimization techniques for cutting-edge solutions* Create products that are used by millions of Snapchatters* Learn new techniques and stay on the cutting edge* Introduce major innovations that can lead to new product features or new areas of business* Work closely with other Snap teams to explore and prototype new product featuresMinimum qualifications:* Bachelor's Degree in a technical field such as computer science (or equivalent experience)* Research or engineering experience in machine learning for computer vision tasks* Experience with deep learning frameworks (e.g. PyTorch, TensorFlow, Caffe2)* Strong software engineering skills (Python or C++)Preferred qualifications:* A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly* Master's degree or PhD in a related technical field* Specific expertise in one or more of the following: generative models (GANs, VAE, Glow), segmentation, object detection, classification, or other related applications of machine learning* Experience developing real-time software for mobile applications* Knowledge of mathematics and deep learning foundations* Knowledge of basic computer vision algorithms* Examples of your work such as open source projects, blog posts, Kaggle contests, top conference or journal publications, etc.* Communication, presentation, and interpersonal skills Associated topics: .net, backend, c c++, develop, perl, php, programming, python, software developer, sw

DescriptionWhatsApp is a fast, simple and reliable way to talk to anyone in the world. More than 1.5 billion people in over 180 countries use WhatsApp to stay in touch with friends and family, anytime and anywhere. WhatsApp is not only free but also available on multiple mobile devices and in low connectivity areas - making it accessible and reliable wherever you are. It's a simple and secure way to share your favorite moments, send important information or catch up with a friend. WhatsApp helps people connect and share no matter where they are in the world.Join a world-class engineering-driven company, where you'll have instant impact from day one. WhatsApp has an open culture and flat organization. Every engineer is literally sitting a few steps away from the founders. As a member of our engineering team you will tackle challenging issues of scale, reliability and security while delivering a delightful, simple user experience to a global user base. If you love writing code, hate tons of meetings, then come talk to us.WhatsApp Integrity team is seeking Machine Learning Engineers to join our small team. The ideal candidate will have industry experience applying machine learning techniques in a range of classification and optimization problems. The position involves taking these skills and applying them to prevent abuse on WhatsApp.RESPONSIBILITIESDevelop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsAdapt standard machine learning methods to new problem domains to prevent abuse on WhatsAppWrite clean, awesome and bug free code using Erlang, Haskell, PHP, C++Work with multi-node cluster handling live trafficDevelop system monitoring and instrumentation toolsMINIMUM QUALIFICATIONSExperience using and training Machine Learning models2 + years experience in either Erlang, Haskell, C++ or Python ProgrammingExperience building and scaling distributed, available systemsKnowledge of Unix internals (especially FreeBSD and Linux)Experience working in a teamBS in Computer Science or equivalent

If you require accessibility assistance or accommodation for a disability when applying for open positions please contact us at +1.888.###.####, Option 1. Oracle's Affirmative Action Plan is available for review by contacting +1.888.###.####, Option 1. If you require accessibility assistance or accommodation for a disability when applying for open positions please contact us at +1.888.###.####, Option 1 Oracle's Affirmative Action Plan is available for review by contacting +1.888.###.####, Option 1.

Building our Future Together. FXI is a leading producer of foam innovation in the Bedding, Furniture, Industrial, Home & Office, Healthcare, and Transportation markets. We have made it our mission to provide tailored solutions that delight our customers and consumers. With our corporate headquarters, high-tech research and development facility, and multiple manufacturing locations in North America, FXI has built a culture of innovation and achievement that is recognized by customers, suppliers and peers. Our products include finished goods, sub-assemblies, services, and raw materials for OEMs, fabricators, and retailers. You will find FXI s foam innovations inside, around, and under yourself in countless applications. Everywhere foam goes, FXI s innovations lead the way Won t you join us? We are looking for an amazing Master Scheduler in Orange, CA. The Master Scheduler will be responsible for managing, coordinating and administering the production scheduling process, incorporating several inputs into an aggregated plant production schedule daily. Will work with Sales and Operations Team to develop and manage forecast for long range material planning while considering current inventory, obsolescence, lead times, product life cycles and production capacity, while serving as a resource to achieve the plant objectives in safety, quality, efficiency, productivity, and customer service. Proven experience with complex planning, forecasting and product lifecycle programs utilizing tools such as MRP, ERP, EDI, Inventory analysis, etc. Change Agent-skill with enabling change, strong influencing abilities particularly with frontline teams. Proven people skills required, must have ability to work with others while effectively handling internal pressures. Have the ability to prepare and effectively present information in one-on-one, small, and large group situations to customers, employees, and other associates within the organization. Bachelor of Science degree in appropriate discipline preferred and/or a minimum 3-7 years experience in scheduling position with extensive demonstrated success of implementing and operationalizing master schedules in a supply chain role. Must be proficient in Microsoft Office, particularly Excel (Import and Export Data, Pivot Table, etc.) Ability to program software to import and export data. Ability to effectively manipulate data to produce reports, charts and graphs. Ability to create database collection systems. SAP experience required American Production Inventory Control Society-(APICS) certified preferred. Lean or Green Belt Six Sigma certification a plus. Benefits Summary We offer a competitive salary and an excellent benefits package, including medical, dental and vision insurance, basic and optional life insurance, short and long term disability protection, a 401(k) plan with company match, tuition assistance, and flexible spending accounts. Join an industry leader and innovator. FXI is an EEO employer Associated topics: fertilize, forklift, fork lift, garden, lawn, management, manufacture, mow, scanner, transplant

Senior Machine Learning EngineerAbout Roku:Roku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build and monetize large audiences, and provide advertisers with unique capabilities to engage consumers. Roku streaming players and Roku TV models are available around the world through direct retail sales and licensing arrangements with TV brands and pay TV operators.The data and advertising group at Roku is looking for seasoned backend engineers with a background in machine learning to improve our ad experiences. Examples of such problems include improving ad-relevance, inferring demographics, yield optimization and many more. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.Things you will do:* ML-Infrastructure : Help build a first class machine learning platform from the ground up which helps manage the entire model lifecycle : feature engineering, model training/ evaluation, versioning, deployment/ online serving and monitoring prediction qualities.* Data Analysis/Feature Engineering : Apply your expertise to identify and calculate features that can be leveraged by multiple use cases as well as models.* Model training with batch and real-time prediction scenarios : Use machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy.* Low level systems debugging, performance measurement & optimization on large production clusters.Things you know:* First hand experience in applied machine learning on real use cases (brownie points for ad-tech related use cases!).* Experience with ML/distributed ML frameworks like Spark-MLlib, TensorFlow etc.* Experience with real-time scoring/evaluation of models with low latency constraints.* Great coding skills and strong software development experience (we use Spark, Scala and Java a lot).* Can work with large scale computing frameworks, data analysis systems and modeling environments.Examples include technologies like Spark, Hive, NoSQL stores etc.* Bachelors, Masters or PhD program in Computer Science/ Statistics or a related field.* Experience with scoring and ranking frameworks like Solr, Mleap, TensorFlow-Serving.* Ad-tech background.#LI-KL1

Machine Learning Engineer - Python C++ Machine Learning Engineer - Python C++ - Skills Required - Machine Learning, Python, Caffe, C++, Tensorflow If you are a Machine Learning Engineer with experience, please read on! As a Silicon Valley Startup in the machine learning and artificial intelligence space, we strive to be the best solution for deployment of deep learning inference applications across all processors and frameworks. We are now looking for a passionate Machine Learning engineer to join our team and contribute to this cutting edge technology. **Top Reasons to Work with Us** - Competitive Pay - Full Benefits - Generous PTO - Flexible schedule **What You Will Be Doing** - implement neural networks in common frameworks **What You Need for this Position** At Least 1 Year of experience and knowledge of: - Machine Learning - Python - Caffe - C+- Tensorflow So, if you are a Machine Learning Engineer with experience, please apply today! Applicants must be authorized to work in the U.S. **CyberCoders, Inc is proud to be an Equal Opportunity Employer** All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law. **Your Right to Work** - In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. *Machine Learning Engineer - Python C++* *CA-Palo Alto* *TH4-1555268*

Senior Machine Learning Engineer A major corporation, solving complex challenges with big data and machine learning technologies is looking to bring on a Senior Machine Learning Engineer to their tight knight team headquartered in the San Fernando Valley (Los Angeles). The group that you will be joining is a high performance app development team, using Machine Learning algorithms and cloud based solutions to automate their environment. Youll be responsible for participating in documentation, analysis, development and design in an Agile software development environment. Required Skills & Experience 5+ years of software development experience 2+ years of Machine Learning and Deep Learning/ neural network experience 2+ years of experience with Big Data technologies (Hadoop, Spark, Hive, Kafka) Experienced with cloud technologies such as AWS Experienced with SQL, NoSQL (MongoDB and ElasticSearch works too) Desired Skills & Experience Experience working with Tableau or open source visualization charts Experience working with Tensorflow or Keras What You Will Be Doing Tech Breakdown 100% AWS Daily Responsibilities 70% Hands On 10% Management Duties 20% Team Collaboration The Offer Competitive Salary: Up to $190K/year, DOE You will receive the following benefits: Medical Insurance & Health Savings Account (HSA) 401(k) Paid Sick Time Leave Pre-tax Commuter Benefit Flexible hours and remote work Applicants must be currently authorized to work in the United States on a full-time basis now and in the future. Workbridge Associates, part of the Motion Recruitment network, provides IT Staffing Solutions (Contract, Contract-to-Hire, and Direct Hire) in major North American markets. Our unique expertise in todays highest demand tech skill sets, paired with our deep networks and knowledge of our local technology markets, results in an exemplary track record with candidates and clients.

Apple Maps are being used by millions of users every single day and powers thousands of applications. As a fundamental tool for human activity, Maps technology is evolving and new techniques are emerging. As a part of Apple Maps search team, you will play a big part in the next revolution in maps to enable users to find things in maps by working in a high-performing and collaborative environment. You will have plenty of opportunities to create groundbreaking technologies using machine learning and deep learning at scale to improve the search quality for Apple Maps. Key Qualifications Experience in applying machine learning in information retrieval domain such as search engines, natural language processing, or similar areas. Desire to solve challenging problems at the intersection of user experience and computational algorithms Strong programming experience in one or more of the following: Java, C++, Python or equivalent Excellent interpersonal and communication skills Description The goal of Maps Search team is to take Apple's Maps to the next level of intelligence and accuracy using advanced machine learning and artificial intelligence techniques. Engineers and scientists on this team work on a wide spectrum of approaches in improving search experience on Apple Maps. You would work on applied natural language processing algorithms to understand user query and intent. You would work on applied machine learning algorithms and models that help improve search relevance and experience. You would also work on developing scalable tools and platform foundations that enable other engineers and scientists to develop, evaluate and release algorithms, models and features quickly. We impact millions of users by developing a phenomenal product with a prime focus on accuracy, quality and performance of the product. This position involves a wide variety of skills and innovation, and is a unique opportunity that sits at the cutting-edge of machine learning and natural language understanding. Ultimately, your work would have a huge impact on millions of users across the globe. Education & Experience BS/MS in Computer Science or equivalent. PhD preferred. Additional Requirements Experience/knowledge of large scale machine learning applied to very large and diverse datasets (preferred) Experience/knowledge of search, natural language processing, and related fields (preferred) Experience/knowledge of maps technology and related fields (preferred)

Anaplan is looking for a self-motivated Principal Machine Learning Engineer to join our growing team at Anaplan HQ in the city-by-the-bay, SAN FRANCISCO to be a member of the global Machine Learning team. As a Principal Machine Learning Engineer, you will help disrupt the future of business planning through Machine Learning. Your will work closely with product owner and the engineering manager in defining the vision, resource requirements and direction for your team. This is a big opportunity to help shape the full pipeline by building a scalable backend solution for automation of data processing. You will help analyze a massive amount of data from Supply Chain, Sales, Marketing, Finance, to IT & Ops to developing predictive models to help our enterprise customers make better business decisions. Unlike many startups, we have many customers and a lot of real business data to tackle real problems. In the heart of the eclectic SOMA district, you can feel the excitement and energy of what we do at Anaplan when you step into our San Francisco office. There are open floor plans, fully stocked kitchens, and great collaboration spaces, and we focus on making sure that you have everything you need to work well from the right lighting to the latest technology. When it's time for the team to play together, we visit with our neighbors at a Giants game or a local pub's happy hour. Come see for yourself what a collaborative and exciting place to work looks like. This role is an immediate full-time position. If you're ready to roll up your sleeves and tackle unique problems that no one is solving in the tech space yet, keep reading. What you'll be doing: Lead the coding and design of an evolving AI/Machine Learning and data pipeline including key infrastructure decisions. Build scalable machine learning processes that operate over billions of records, to develop predictive models and knowledge graphs that extract data from, among others, Supply Chain, Sales, Marketing, Finance, to IT to help our enterprise customers make better business decisions. Write efficient and well-organized software as part of the engineering team to deliver software in an iterative, continual-release environment. Monitor and plan out core infrastructure enhancements Drive understanding and buy-in among all stakeholders at all levels. Contribute to and promote good software engineering practices across the team. Mentor development teams globally (i.e. demonstrate good coding practices and helping them architect code) Lead code reviews, design sessions, and technical documentation. More about you: Coding fluency with a wide variety of data analysis and machine learning techniques Depth of experience building end-to-end enterprise solutions that leverage data analysis and machine learning Excellent communication skills for leading and explaining data science projects and system architecture choices Expertise with common Data Science tools and frameworks like: Python, scikit-learn, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark Awareness of other data-intensive topics like: Operations Research, Optimization, NLP, Computer Vision, Decision analysis, Monte Carlo analysis, Simulation, etc. Experience working on either GCP, AWS or Azure for delivering Machine Learning solutions At least 5+ years in Data Mining, Data Pipelines, ETL, Training ML Models and Building Predictive Machines Experience working in a Linux or Unix environment Spark - working with RDDs and Data Frames to query and perform data manipulation or similar distributed data processing Source Control Management Tool - Git Stream processing technologies and concurrency frameworks Strong understanding of the nature of distributed development and its pitfalls BS in Computer Science, Engineering, Technology or related fields. Masters or PhD degree is a plus. What we offer: A rewarding, progressive career with a company that values diversity, flexibility and understands the need for a good work/life balance. Market-leading salaries combined with generous bonuses, equity and a range of comprehensive benefits. Regular agile meetups, events and hackathons (both attending and hosting!) Flexible working, catered lunches, a fully stocked kitchen and plenty of parties & events A range of sports, health and wellbeing initiatives 3 days of paid leave every year to help support the charity or cause of your choice.Salary Range: NAMinimum Qualification5 - 7 years Associated topics: business, business advisory, business analysis, business intelligence, consult, consultant, crm, information technology consultant, sap, senior consultant

About Netskope Today, theres more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security. Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, San Francisco, Seattle, Bangalore, London, Melbourne, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive.Visit us atnetskope.com/company/careersand follow us on Twitter@NetskopeandFacebook. Software Engineer, Machine Learning Within Netskope Engineering, Security Services organization is responsible for building core security products and features, such as Advanced Threat Protection, Data Loss Prevention, User and Entity Behavior Analytics and Secure Web Gateway. We apply Artificial Intelligence and Machine Learning technologies across Netskope cloud security platform. We are looking for talented software engineers to join a newly created data science team. A successful candidate has deep technical expertise in productizing AI/ML technologies in security applications and/or adjacent domains, ideally has been through the entire lifecycle of an award winning AI/ML-driven product, and must be passionate about cloud security. You will have the opportunity to work with a team of talented engineers, researchers and data scientists to solve the most challenging cloud security problems. Responsibilities: Design, train, test, productize and deploy machine learning models, writing production-level code and assuming end-to-end ownership of successful ML use case implementation with excellent scalability and performance; Work closely with data scientists, fellow ML engineers, and product management team to ensure our solutions deliver continuous values to end customers; Document use case, data acquisition, feature engineering, training, validation, deployment, future improvement opportunity and other important aspects; Be an evangelist of AI/ML within Netskope. Promote AI/ML wherever applicable, beyond security use cases; Collaborate with data analytics team to define new platform requirements and continuously improve our horizontally scalable data lake. Qualifications/Requirements: First of all, must have true startup spirit. Be willing to wear multiple hats and deliver end-to-end; Ability to think out-of-box and evaluating results based on customer value; 5+ years of industry experience in applying AI/ML, preferably on well-known security products or services, such as malware detection, anomaly detection, security analytics and data security. Note we are open to all experience levels; Experience implementing highly efficient AI/ML applications, making best use of modern parallel computing environment such as distributed clusters and GPU; Experience applying AI/ML in more than one domains highly desirable; Hands-on experience with relevant technology stacks such as CUDA, Python, R, Spark, Flink, Tensorflow; Energetic self-starter, with the desire to work in a dynamic fast-paced environment; Excellent verbal and written communication skills; Ability to influence without authority; MS or PhD in Computer Science or equivalent technical degree. #LI-SD1

As a Data Scientist at Capital One, you ll be part of a team that s leading the next wave of disruption at a whole new scale, using the latest in distributed computing technologies and operating across billions and billions of customer transactions to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.On any given day you ll:-Use Big Data tools (Spark, H2O, AWS) to conduct the analysis of billions of customer transaction records-Lead the full cycle of iterative exploratory data analysis, including hypothesis formulation, algorithm development, data structuring, testing, insight generation/visualization, and action planning-Apply proven machine learning methods and hacking skills in working with open-source and proprietary technologies to explore and extrapolate insights from divergent data types-Independently collaborate with peers, data engineers, database managers, and business analysts across multiple businesses in designing and implementing research and development strategies and communication of insights for complex and unique business problems-Investigating the impact of new technologies on the future of digital banking and the financial world of tomorrowThe Ideal Candidate will be:-Curious. You ask why, you explore, you re not afraid to blurt out your disruptive idea. You probably know Python, Scala, or R and you re constantly exploring new open source tools.-Wrangler. You know how to programmatically extract data from a database and an API, bring it through a transformation or two, and model it into human-readable form (ROC curve, map, d3 visualization, Tableau, etc.).-Creative. Big, undefined problems and petabytes of data don t frighten you. You re used to working with abstract data, and you love discovering new narratives in unmined territories.Twenty-five years after Capital One was started it s still led by its founder. Be ready to join a community of the smartest people you ve ever met, who see the customer first, and want to use their data skills to make a difference.Basic Qualifications:-Master s Degree plus 1 year of experience in Data Science, or PhD-At least 3 years of experience in machine learning algorithms using Python (Pandas, NumPy, SciPy, Scikit-Learn, TensorFlow, and pyTorch, etc.)-At least 2 years of experience working with relational databases and SQL-Troubleshooting and problem-solving abilities-At least 1 year experience working with AWS and Big Data solutions such as SparkPreferred Qualifications:-PhD degree in Statistics, Computer Science, Mathematics, Physics, or related technical field with a strong publication record or demonstrable record of delivery-Experience deploying machine learning algorithms to a production environment-Experience in time series analysis and forecasting