Machine Learning Jobs in Oakland, CA

The Senior AI/ML Engineer develops and optimizes models using machine learning and AI to solve complex financial problems, while providing insights and recommendations based on data analysis.

As a Staff ML Engineer, you will design and optimize ML Platform components, ensuring scalable and reliable systems for AI-driven applications at Zendesk. Collaborate with various teams to align platform strategies with business priorities.

Design and develop generative AI services and APIs for Adobe products, optimizing models and building inference pipelines. Mentor ML engineers.

Design and manage a research compute cluster for large-scale AI training, focusing on infrastructure, security, and robust workflow solutions.

As an intern, you will develop predictive models and collaborate to enhance customer experience through AI and machine learning techniques.

Lead the development of AI/ML platforms, architecture, and infrastructure, ensuring technical excellence, mentorship, and effective solutions to meet business needs.

The Principal Machine Learning Engineer leads the design and development of ML models, ensuring quality integration and scalability, while collaborating with teams and overseeing the model lifecycle.

The Lead Data Scientist will design and implement AI and ML solutions to improve decision-making, develop automated data pipelines, conduct analytics, and collaborate with teams to operationalize AI systems.

As a Senior Software Engineer at StubHub, you will design, develop, and maintain software solutions, mentor team members, and collaborate to improve the user experience across platforms.

As a Senior Software Engineer in ML, you will strategize, design, and implement NLP and ML solutions for legal documents and code, collaborating with cross-functional teams to build and scale AI features.

As a Data Scientist, you'll analyze repayment patterns, refine risk models, and develop features to optimize outcomes for partners in the Earned Wage Access industry.

The ML Infrastructure Engineer will develop and scale AI safety systems infrastructure, optimize machine learning pipelines, and ensure reliable system performance while collaborating with research teams.

The ML Research Engineer will develop and train embedding models for a search engine, focusing on novel transformer architectures and dataset creation.

As an ML Infrastructure Engineer, you will build infrastructure for AI development, automate ML workflows, and enhance developer experiences while collaborating with various engineering teams.

Develop tools and services for the Anyscale platform, focusing on ML Ops, user interfaces, and critical infrastructure for scalable applications.

The role involves designing and developing algorithms and ML models for machine perception, collaborating with cross-functional teams, and applying research in computer vision to improve systems.

The internship involves working on machine learning research, focusing on frontier models and advanced training methods, while collaborating with industry and academia.

As a Senior Machine Learning Engineer, you will drive AI vision, develop models, and collaborate cross-functionally to enhance user experiences.

The Staff Machine Learning Engineer will lead ML strategy, architect AI infrastructure, mentor engineers, and develop impactful AI systems.

Design and optimize machine learning pipelines for large-scale systems, integrating models into user features and ensuring data integrity and performance.

Lead the design and optimization of ML systems at Scribd, managing cross-team projects, mentoring engineers, and shaping technical direction for ML initiatives.

Design and optimize machine learning systems, build scalable data pipelines, and run experiments to improve recommendations for Scribd's products.

The Tech Lead Manager will lead a team focused on developing methodologies for LLM evals, conducting research, creating benchmarks, and collaborating with clients and partners.

As a Senior Machine Learning Engineer, you'll develop and deploy machine learning models for educational tools, collaborating with diverse teams to enhance AI-driven features and scalability.

Join Twitch's Machine Learning Infrastructure team as a Senior Software Engineer to design and build scalable ML systems and collaborate across disciplines while mentoring others.