Machine Learning Jobs in Oakland, CA

Lead game analytics teams to transform player data into strategies for enhancing engagement and revenue across key titles. Manage projects, mentor analysts, and collaborate with product leaders for decision-making.

The Principal Software Engineer will lead the development of autonomous systems for satellites, overseeing architecture and capabilities while mentoring engineers. Responsibilities include guiding algorithms for satellite operations and ensuring software integration across mission elements.

Develop network automation software for TeraWave satellite communication systems, focusing on embedded software, network protocols, and real-time processing.

Design and scale the infrastructure for ML systems, enabling reliable trading system production, optimizing performance and ensuring correctness across complex environments.

The Staff Technical Recruiter will lead technical recruitment efforts in North America, focusing on sourcing top-tier software engineers. Responsibilities include redefining hiring strategies, building a strong candidate pipeline, and contributing to the overall growth of the engineering team. Candidates should possess a craftsmanship mindset, adaptability to change, and a solid background in technical recruiting within a startup environment.

The role involves leading a research project on large language models, mentoring junior researchers, and publishing scientific papers, with a focus on advanced natural language processing methods.

Lead the development of AI-driven automation for security operations, focusing on integration, scalability, and accuracy of systems to enhance security efficacy.

Lead AI-centered product design strategy for Everlaw's litigation platform, define human-AI design frameworks, influence cross-functional product and engineering decisions, mentor designers, and elevate org-wide design systems and standards.

The Director of Product for Data Flywheel will lead the roadmap for data initiatives, ensuring quality and compliance across various engineering teams and initiatives. Responsibilities include managing data metrics, supporting data pipelines, and collaborating across teams to enhance infrastructure.

The Principal Product Manager will drive the AI strategy for Fictiv's digital manufacturing platform, leading product development for AI capabilities and overseeing collaborations with AI, data science, and engineering teams to enhance operational efficiency and system accuracy.

Design and develop innovative deep learning methods for biomolecular design, collaborating with biology teams, prototyping new algorithms, and presenting results.

Drive net-new enterprise logo acquisition by selling Findems People Intelligence platform. Target HR, Talent Marketing, and Recruiting teams, mapping CRM and marketing automation practices to talent pipeline modernization. Manage complex, multi-stakeholder sales cycles, build ROI-driven business cases, collaborate with internal teams, and forecast and close multi-product, multi-year contracts.

Lead compliance operations for healthcare engagements, audits, Open Payments reporting, HCP engagement system administration, risk assessments, investigations, and cross-functional compliance support.

As an ML research engineer, you will develop systems using language models, curate datasets, set evaluation metrics, and scale semantic search processes.

The Senior AI Scientist will lead ML/AI innovation for multimodal video models, develop production-grade ML models, and engage in research and representation at conferences.

Lead and manage machine-learning projects at Elicit, focusing on product vision, user research, and driving impacts for researchers. Collaborate with engineers and designers for successful feature implementation.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

The role involves developing cutting-edge AI/ML models for biology, leading research strategy, and mentoring. Requires expertise in machine learning methodologies and experience in biological data.

The Senior Software Engineer will build and ship user-facing software, lead engineering efforts, mentor engineers, collaborate on features, and contribute to scaling systems while ensuring code quality.

The Business Strategy Manager will lead high-priority strategic projects, collaborate with senior leadership, and evaluate new business opportunities to drive organizational change and development.

Develop end-to-end software agents as collaborative AI teammates to empower engineering teams in solving complex challenges.

The Head of Startup Program will create and manage an AI-centric startup program, drive customer engagement, and establish strategic partnerships in the ecosystem.

Lead product strategy and execution at Findem, focusing on delivering insights and coordinating with cross-functional teams. Own the product development process and drive innovation while aligning with market needs.

The Technical Product Manager will lead product direction, interface with engineering teams, and ensure the successful deployment of AI-powered safety systems. Responsibilities include defining product vision, translating customer needs, and maintaining high product quality.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.