Machine Learning Jobs in Oakland, CA

The Frontend Engineer will design and prototype AI-driven products for government clients, ensuring compliance and usability in high-stakes environments while collaborating with a small team.

Lead cross-functional Fund Finance projects, manage timelines, communicate with senior leadership, mitigate risks, and mentor junior team members.

As a Machine Learning Engineer, you will enhance video solutions, scale AI/ML systems, and improve model performance. You'll work with experimentation, deployment, and technical optimization.

As a Senior Computer Vision Engineer, you will develop and deploy machine learning models for recycling technologies, oversee the ML lifecycle, and collaborate cross-functionally to drive impact.

Interns will work on AI/ML research in sleep fitness, building prototypes, validating data, and collaborating with a cross-functional team. Expect hands-on mentorship and opportunities for publication.

The Machine Learning Engineer will develop machine learning models, build data pipelines, and collaborate with teams to identify customer needs. Responsibilities include training and validating deep learning models and presenting performance results.

The role involves optimizing machine learning approaches for 3D simulation, collaborating with diverse teams, and building scalable ML pipelines.

Lead the Machine Learning Platform team at Discord, focusing on building and maintaining ML infrastructure and tools to enhance user experiences.

Lead the credit strategy and risk management at Prime, developing credit policies and procedures, managing relationships, and overseeing credit lifecycle using data analytics and machine learning.

As an Applied AI Engineer, you will develop AI workflows, conduct data analysis, and build systems for legal applications while collaborating with the legal team.

The role involves building AI agents to help design products and solve significant global problems, contributing to innovative AI research.

The Software Architect will design and implement scalable software solutions with a focus on AI, AR integration and analytics, ensuring high performance and security.

The Senior Product Manager will drive innovation and strategy for personalization features, manage A/B tests, and collaborate with teams to enhance user experiences across mobile apps.

Contribute to building safe AGI through automating research and code generation, enhancing models, and aligning with team values.

The Industry Solution Leader bridges tech and government in property valuation, driving software solutions and fostering client relationships based on appraisal expertise.

Lead the ML privacy vertical, developing algorithms to prevent data leakage, conducting evaluations, and collaborating with engineers to deliver applications.

Lead and build the Sales Engineering team, drive technical sales strategies, and ensure customer satisfaction through AI solutions integration.

Lead the development of ML evaluation methodologies, design tools, and collaborate across teams to ensure safety and performance of autonomous driving models.

The Senior Product Manager will lead the development of The Trade Desk's infrastructure, focusing on scalability, security, and optimizing complex systems to support high-performance workloads. Responsibilities include modernizing core systems and collaborating with cross-functional teams to enhance product capabilities and performance.

The Director of Sales Engineering leads a team to optimize sales processes, mentor staff, and engage with customers while driving revenue growth and collaboration across departments.

As a Machine Learning Research Intern, you will contribute to visual generative model development, translating research into code and collaborating with peers to enhance machine learning applications in design.

The role involves building and optimizing core infrastructure for machine learning models, collaborating with ML teams on deployment and efficiency.

Drive the development and implementation of machine learning applications and pipelines, collaborating with teams to enhance and deploy AI models.

The Senior Software Engineer will develop and implement machine learning applications, collaborate with data teams, and uphold coding standards in Python.

Develop and implement ML models for search and recommendations, focusing on generative AI technologies and multimodal processing to improve creative experiences.