AI Research Scientist

• Define strategy for training data capabilities and prioritize data collection
• Own decisions around data quality, review depth, confidence thresholds, and cost
• Own end-to-end data collection, including procurement, preparation, capture, expert labeling, and annotation
• Build scalable systems across data collection stages
• Coordinate teams and sites to maximize throughput and drive capacity planning
• Define human review processes and feedback loops that convert corrections into training data
• Partner with ML Engineering, Operations, and subject matter experts to set direction and drive execution
• Define metrics for data quality, model improvement, throughput, and cost efficiency
• Communicate progress and tradeoffs to senior leadership
• Mentor Product Managers and contribute to product practices and documentation
• Use Claude Cowork, Claude Code, Codex, and other emerging AI tools and coding agents to accelerate product development and improve workflows

Staff Product Manager, AI Research – Engineering

• Lead, design, and execute complex user research studies to identify opportunities to drive business value and improve user experience
• Merge qualitative and quantitative data via mixed methodologies
• Present research insights to senior stakeholders and executive leadership to influence product and business decisions
• Synthesize and communicate research findings through executive summaries, workshops, and actionable recommendations
• Partner with designers, product managers, and engineers to translate research insights into strategic design and product roadmaps
• Document insights and artifacts in a central repository
• Lead the creation and evolution of user personas/archetypes and journey maps
• Collaborate with Research Operations to use standardized research materials, frameworks, and processes
• Champion emerging industry trends, tools, and methodologies, especially AI and Agentic technologies
• Report to the Manager, CX/UX Research

Senior CX/UX Researcher – AI-First Innovation for Tax & Accounting

• Contribute to ongoing research projects and help define new research directions
• Engage with universities to maintain and strengthen ongoing and future research collaborations
• Develop internal prototypes to test and evaluate methods relevant to embodied AI assurance
• Publish scientific results and attend conferences to build new knowledge and share DNV’s work
• Improve the safety and reliability of embodied AI systems, including robots, drones, and autonomous vehicles

AI Researcher

• Perform research and publish in relevant venues, including NeurIPS, ICML, ICLR, CLeaR, UAI, COLM, ACL, EMNLP, or TMLR
• Take ownership of the project from inception and ideation through validation of developed methods
• Collaborate cross-functionally with machine learning, behavioral, and social scientists
• Research and develop generative AI technology for understanding human behavior
• Study causal reasoning in language-based generative machine learning models
• Develop methods for testing and improving causal reasoning
• Engage in strategy discussions connecting research to business impact at Toyota

Human-Centered AI Research Intern, Causal Reasoning Models

• Run researcher, AI architect, and leadership searches end to end, from intake through close
• Size the market before outreach with a defensible success profile, realistic obtainable segment, and named target map
• Own the offer narrative for candidates holding cash and public equity
• Coach hiring managers and panels on structured evaluation and calibration
• Use AI deliberately in recruiting workflow and help decide what to automate, augment, or keep human
• Create market briefs, calibration notes, and lasting relationships to improve future searches
• Help enable a research organization competing at the front of AI research, including conference-quality work, lab and university partnerships, foundation-model and agentic-AI breakthroughs, and customer-facing research

Senior Recruiter, AI Research & Leadership

• Design, implement, and iterate agentic AI systems with customers
• Collaborate closely with software engineers, product managers, and solution engineers
• Innovate at the frontier of AI and create new solutions
• Define new product categories with meaningful impact for Salesforce customers
• Build and ship high-quality, production-grade software using modern engineering practices
• Design and orchestrate complex systems where AI agents integrate into human workflows
• Contribute to the shared system context repository of system designs, constraints, and standards
• Critically evaluate human- or AI-generated code for correctness, quality, security, and performance
• Implement and debug model training, evaluation, and inference pipelines
• Deploy ML systems using Docker and cloud platforms
• Optimize distributed training or inference performance

AI Research Scientist jobs in California

Staff Product Manager, AI Research – Engineering

Senior CX/UX Researcher – AI-First Innovation for Tax & Accounting

AI Researcher

Human-Centered AI Research Intern, Causal Reasoning Models

Senior Recruiter, AI Research & Leadership

Lead Member of Technical Staff – AI Research