Machine Learning Jobs in Oakland, CA

The Senior/Staff Machine Learning Engineer will design machine learning solutions for robotics, focusing on task planning, model performance, and system integration across various teams.

The role involves leveraging medical imaging data to train and deploy deep neural network models for a surgical robot, improving surgical procedures.

Develop and implement machine learning models for evaluating disputes and chargebacks, and create a model orchestration layer. Collaborate on data use for enhanced user experiences.

The Machine Learning Engineer will fine-tune models, develop scalable pipelines, work with customers, and implement advanced training techniques.

The Machine Learning Engineer will prototype and evaluate LLM features, collaborate with teams, contribute to technical design, and measure success metrics.

The Machine Learning Engineer will develop and deploy ML solutions, analyze data for insights, and monitor model performance to enhance products.

Design and deploy algorithms for gesture detection on embedded hardware, owning the development cycle from design to optimization, while collaborating across teams.

The Lead Machine Learning Engineer will develop, optimize, and deploy machine learning models while collaborating on AI-capable solutions for edge and cloud applications.

Lead a team of Machine Learning Research Scientists to advance deep learning and LLM integration in adtech solutions. Responsibilities include overseeing model design, enhancing algorithms, mentoring staff, and maintaining active participation in the development process.

The role involves developing cloud solutions and enhancing ML/AI pipelines, ensuring service availability, and automating deployments in a scalable environment.

As a Senior Solutions Architect (AI/ML), you'll lead technical engagements, design scalable cloud solutions, and collaborate with key customers to solve complex challenges in cloud infrastructure and AI/ML.

Senior Research Scientists work on deriving probabilistic ML theory, scaling experimentation, implementing models, publishing findings, and creating production models. They collaborate with researchers and engineers and must become experts in various fields.

The Sr Machine Learning Engineer will build and scale ML infrastructure, implement MLOps, and collaborate with teams to optimize model performance and compliance.

The role involves designing and building scalable ML infrastructure, automating ML workflows, mentoring team members, and collaborating with various stakeholders to improve products.

As a Senior Machine Learning Engineer, you'll develop scalable models, conduct A/B testing, analyze data, and collaborate cross-functionally to integrate models into products, focusing on recommendations and personalization.

As a Machine Learning Intern at Ema, you will work on building and deploying machine learning models, analyzing datasets, and collaborating with senior engineers in a fast-paced startup environment.

As a Machine Learning Engineer Intern at Moloco, you will work on state-of-the-art ML systems, participating as a full team member to conduct experiments, enhance data pipelines, and develop tools for model quality measurement.

Design and build backend systems for credit insights products, collaborating with various teams, and mentoring junior engineers.

Develop and optimize infrastructures for large-scale AI model training. Collaborate on end-to-end ML pipelines, ensuring efficiency and robustness.

The Senior Machine Learning Engineer will design and develop ML models for 3D assets, integrating AI into creator tools while collaborating with engineering and creative teams.

The role involves optimizing and deploying local large language models (LLMs), customizing ML models for real-world applications, and ensuring effective deployments in resource-constrained environments. You will work on AI systems that push the boundaries of technology and drive customer impact.

The role involves leading experiments to evaluate AI model performance, developing tools for rapid testing, and collaborating across teams to align model improvements with customer needs.

The Senior Machine Learning Engineer will develop NLP solutions, manage datasets, optimize performance metrics, and work on ML applications for healthcare.

Lead ML Performance Optimization for autonomous driving, collaborating across teams, implementing optimization techniques, and mentoring engineers for career growth.

Develop and maintain the ML training framework, build inference services, lead design and implementation of ML platform, and mentor junior engineers.