Top Machine Learning Engineer Jobs in San Francisco, CA
The Senior Software Engineer in Machine Learning at Reddit is responsible for building and deploying machine learning models to enhance advertisement targeting. The role includes writing production code, participating in the full software development lifecycle, and collaborating with other teams to solve complex technical challenges.
The Staff Machine Learning Engineer will design and build ML models, develop advanced search algorithms, improve data processing systems, and optimize search functionalities to enhance user experience on Pinterest. This role requires leadership in engineering efforts to affect product experience and business metrics significantly.
The Staff Machine Learning Engineer will lead efforts in developing and optimizing machine learning models for content delivery and user engagement at Reddit. Responsibilities include designing algorithms, managing technical roadmaps, collaborating with cross-functional teams, and mentoring junior engineers. The role requires a deep understanding of recommendation systems and large-scale machine learning infrastructure.
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.
As a Senior ML Research Scientist, you will utilize advanced machine learning techniques to enhance autonomous driving systems. Your role involves developing embedding models, optimizing search capabilities, and collaborating with teams to implement practical ML solutions. You will also manage large datasets and contribute to real-world applications of ML in Nuro's technology.
As a Sr. ML Engineer on the Inclusive AI team, you'll lead engineering efforts on Responsible AI and ML Fairness. You'll collaborate with various teams to enhance ML models, mentor junior engineers, and define technical strategies while staying updated on industry trends.
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The Senior Machine Learning Engineer will contribute to motion planning systems for autonomous vehicles, developing algorithms and deep learning models while guiding junior team members. Responsibilities include designing software, deploying solutions in vehicles, and enhancing data-driven models. The position requires expertise in C++ and deep learning frameworks.
Lead the development and innovation of motion planning systems using machine learning and optimization. Oversee algorithm development, integrate with perception and control systems, ensure robust and scalable software, and mentor junior team members for product-focused engineering.
As a Senior Machine Learning Engineer on the Ads Retrieval team, you will build and iterate on ML models for ad candidate sourcing and early ranking, design indexing systems, and research new model architectures. You will also lead project execution, work with data systems, and collaborate with various stakeholders.
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 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.
As a Senior Machine Learning Engineer at Reddit, you will work on personalizing notifications for users by applying machine learning to vast amounts of data. You'll build, deploy and mentor, collaborating across teams and managing complete software cycles to improve user experiences.
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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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