
Samsung Electronics America
Mountain View, California • Today
Full-time
USD 255,653.00 - 265,653.00 per year
21 results (0 new)

Samsung Electronics America
Mountain View, California • Today
Full-time
USD 255,653.00 - 265,653.00 per year

Pinterest, Inc.
Remote or San Francisco, California • Today
Full-time
USD 138,905.00 - 285,982.00 per year

Pinterest, Inc.
Remote or San Francisco, California • Today
Full-time
USD 222,716.00 - 389,753.00 per year









Pinterest, Inc.
Remote or San Francisco, California • Today
Full-time
USD 138,905.00 - 285,982.00 per year




To see how well you match this job, please log in or create an account.
Once logged in, be sure to complete your profile to get the most accurate match score.
Sunnyvale, California
•
Today
Position Summary The Senior Machine Learning Engineer will lead the design, development, and deployment of scalable machine learning solutions that address complex business challenges, with a primary focus on building auto-research capabilities that automate model training optimization, experimentation, and evaluation to accelerate the ML development lifecycle. This role requires collaboration with cross-functional teams to deliver robust, production-ready models and data pipelines while ensurin
Full-time
USD 143,000.00 - 286,000.00 per year
Cupertino, California
•
Today
At Apple, we work every day to create products that enrich people's lives. Our Apple Ads group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in the App Store, Apple Maps, and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising
Full-time
Sunnyvale, California
•
Today
Position Summary What you'll do Role summary: The Principal, Machine Learning Engineer will lead the design and development of scalable, production-grade ML systems that address complex business challenges. This role involves architecting end-to-end ML pipelines, driving innovation in advanced modeling techniques, and ensuring robust deployment and monitoring practices. The position requires collaboration with cross-functional teams to align ML solutions with organizational goals while mentorin
Full-time
USD 169,000.00 - 338,000.00 per year
San Jose, California
•
Today
We are seeking an experienced and driven Machine Learning / MLOps Engineer to join our engineering team. In this role, you will bridge the gap between machine learning research and production systems. You will be responsible for developing, fine-tuning, deploying, and scaling state-of-the-art machine learning and foundation models in production. If you are passionate about building robust MLOps infrastructure, optimizing multi-GPU workloads, and collaborating with cross-functional teams to deliv
Full-time