6 jobs found

Job Description201 Third Street (61049), United States of America, San Francisco, California Machine Learning Research Scientist Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. What You'll Do: In Capital One's Center for Machine Learning, you'll be using your knowledge to solve business problems across multiple important domains. Our Applied Research team develops novel applications of cutting-edge ML to create the future of financial services. You'll be leading a team of researchers working in innovation areas that are critical for the future of the industry. These may include computer vision, representation learning, explainability, fairness, machine learning on graphs, Bayesian deep learning,...

Role description We are looking for exceptional interns to join the ML-Agents team within AI@Unity. The ML-Agents team is an applied research team focused on: Enabling Unity as a premier simulation platform for Artificial Intelligence research ranging from locomotion to game-playing agents Enabling Unity developers to train character behaviors using machine learning techniques such as deep reinforcement learning and imitation learning. You will be working with a team of researchers and engineers to develop technologies for training intelligent agents within Unity environments. Bringing these technologies to the Unity platform has the potential to both transform how games are created, tested, and evaluated as well as push RL research forward by providing novel simulation environments. You will have access to Unity's vibrant ecosystem of developers and games, providing simulation environments that range from 2D turn-based to 3D real-time strategy, including networked and...

Job DescriptionThe Cortex Applied Research group was created to support product teams across the company with effectively leveraging Machine Learning to solve customer problems. Importantly, the Applied Research group does not create products and services itself, but exists to partner with product teams to help them take advantage of new advances and techniques. In the User Modeling team we focus on techniques aimed at characterizing user behavior, interests, and their journey using Twitter. We leverage this understanding to help improve some of the main product experiences on the platform. Here are some public examples of previous work at Twitter related to what we work on:ML approaches to ensure healthy conversations on TwitterInvestigations of foreign interference in political conversations.Deep Learning for new user recommendationsEmbeddings for different Twitter entitiesQualificationsMasters, Post-graduate, or PhD in computer science, machine learning, information retrieval,...

The Lead Machine Learning Engineer will be working on our recommendation team to generate product and search recommendations on our website directly to customers. This person will drive the technical direction of the recommendations ML team and work closely with the engineering and product partners.What You Get To Do Every Day* Design and test machine learning models to create highly accurate systems used in operations* Write production quality code* Take ownership of key components, ensuring that they meet the needs of the business.* Collaborate with senior management, product management, and other engineers in the development of product* Mentor team members to build the company's overall expertise* Work to make The RealReal an innovator in the space by bringing passion and new ideas to work every dayWhat You Bring To The Role* Quantitative degree* 5+ years experience in a data role* 5+ years experience in building and evaluating machine learning & deep learning models* 5+...

Tinder connects people. With tens of millions of users and a presence in every country on earth, our reach is expansive-and rapidly growing. Your daily work here will cause millions of people to spark meaningful connections. We have a small, dedicated engineering team with one of the highest ratios of users to engineers in the industry, making every member of the team critical to our success. We're looking for someone that can help us explore a vast amount of data and derive knowledge from that data that can be used to improve our product.About the RoleAs the Engineering Manager, Machine Learning will have the opportunity to lead a team of Machine Learning Engineers that will develop machine learning models and systems for revenue applications.Our mission is to monetize Tinder's global user base through subscriptions and premium features. You'll have a unique opportunity to join a company with a global footprint while working on a team that's small enough for you to feel the impact...

We're Cruise, the self-driving ride-hailing service.We are building the world's most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.At Cruise, our engineers have opportunities to grow and develop while learning from leaders at the cutting-edge of their fields. With a culture of internal mobility, there's opportunity to thrive in a variety of disciplines. This is a place for dreamers and doers to succeed.If you are looking to solve one of today's most complex engineering challenges, see the results of your work in hundreds of self-driving cars, and make a positive impact in the world starting in our cities, join us.The Autonomous Vehicle (AV) software stack heavily relies on machine learning. Throughout the lifecycle of each machine learning model, skilled ML engineers work closely...