Top Machine Learning Jobs in San Francisco Bay Area, CA
As a Machine Learning Engineer at Smule, you'll design models and algorithms to improve production recommender systems. You'll leverage various data types to enhance the product experience for millions of users, while collaborating with a team of engineers and scientists to solve complex technical problems.
As a Senior Data Scientist at Lyft, you will develop mathematical models and machine learning algorithms to optimize rideshare supply and demand. Collaborating with engineers and product managers, you'll conduct data analysis, implement production code, and monitor product health, all while driving machine learning initiatives within the team.
As a ML Research Scientist on the Learned Behavior team, you will develop and optimize embedding models to enhance scene retrieval for autonomous vehicle systems. You'll leverage advanced machine learning techniques to solve real-world problems, build ML data pipelines, and deploy models to impact driving behavior.
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As a Senior Software Engineer on the Machine Learning Platform at Discord, you will design and build tools for ML engineers and data scientists, ensuring effective integration of machine learning models into production. You'll collaborate with model builders, set ML best practices, and create foundational datasets and models while working with large datasets and distributed systems.
The Applied AI Research Manager will lead and manage the team focused on developing AI technologies for the Descript product, ensuring project completion, mentoring researchers, and integrating AI into products. The role involves staying updated on AI advancements and representing the company at events.
As a Data Scientist, you will analyze large datasets to enhance the understanding of email attack patterns, evaluate detection product quality, experiment with solutions, and generate insights for internal teams and partners to improve cyber security products.
The Staff Machine Learning Engineer will lead a team focused on Generative AI systems, enhancing AI infrastructure and product vision. Responsibilities include driving technical direction, mentoring engineers, developing algorithms for user connectivity, and collaborating with product managers to integrate Machine Learning into user experiences.
As a Staff Machine Learning Engineer at Lily AI, you will design scalable ML platforms, optimize and productionize deep learning models, and contribute to the company's AI strategy. You will collaborate with cross-functional teams to define the ML roadmap and ensure high-quality code and efficient data pipelines.
As a Principal Machine Learning Engineer, you will lead a team to develop innovative deep learning vision algorithms for robotic grasping. Responsibilities include designing machine learning models, collaborating with engineers, and ensuring effective interaction between robots and their environment.
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The Senior Machine Learning Engineer will lead data projects to launch new machine learning products and enhance predictive features on Iterable's platform, collaborating with cross-functional teams and evaluating algorithm performance for reliability and generalization.
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