Top AI Research Jobs in Los Angeles, CA

The Research Engineer will work on neuroimaging projects, focusing on data processing, machine learning, and analysis of neurodegenerative disorders, while supervising students and contributing to scientific publications.

Lead forward-looking research on robot learning, hardware, supply chains, and commercialization. Produce reports, forecasts, and briefings; track mobile manipulators, quadrupeds, cobots, and autonomous vehicles; assess AI, edge compute, and simulation impacts; collaborate with cross-sector analysts; support investors, OEMs, and policy stakeholders; and present findings to senior executives and clients.

Lead research on improving AI agent training data and evaluations. Manage and mentor research engineers, define research direction, design rigorous experiments, validate data quality, diagnose reward and grading failures, and translate findings into scalable tools, workflows, and standards. Collaborate with engineers, domain experts, and vendors while communicating technical conclusions and tradeoffs clearly.

Leads research on the economic impact of AI and technology disruption across markets, business models, and value chains. Synthesizes economic analysis, quantitative evidence, financial statements, market intelligence, and emerging signals into Gartner thought leadership and executive recommendations. The role includes client engagement, presentations, media interactions, content development, peer review, sales support, mentoring, and shaping research agendas.

Conduct research on frontier AI systems and develop datasets, experiments, prototypes, tooling, evaluation frameworks, and reinforcement learning environments. Investigate synthetic and agentic data generation, post-training, model understanding, benchmarks, and evaluation. Collaborate with research, engineering, product, and operations teams to translate findings into scalable AI applications, while contributing to technical publications, open-source work, mentorship, and the broader AI research community.

Leads development of agent evaluation systems that assess live software agents using trace data, rubrics, benchmarks, and LLM-as-a-judge techniques. Owns the evaluation platform’s full stack, creates reusable workflows and integrations, tracks emerging evaluation methods, and collaborates with data science teams. Manages and mentors engineers while promoting evaluation practices across agent-focused products.

Conduct applied AI safety research using white-box methods such as activation explainers, steering, patching, attribution, and probes. Develop, evaluate, and stress-test methods on realistic large-scale models and long-context agentic coding tasks. Own research directions, publish findings, communicate results to technical and non-technical audiences, and collaborate with frontier labs, governments, and academics.

SynX Therapeutics, a biotech start-up, invites speculative applications for future roles related to drug discovery and engineered biology.

Research and prototype transformer-based and graph-based foundation models using customer, transaction, and merchant data. The intern will design and train models, run rigorous experiments, evaluate results, and develop working prototypes. Responsibilities include collaborating with Product, Engineering, Analytics, and Applied Science teams to improve customer experience, operational efficiency, and business outcomes.

Conduct AI and machine learning research integrating advanced algorithms with physics-driven modeling and simulation systems. Develop reinforcement learning, multi-agent, generative, computer vision, and hybrid modeling solutions; build prototypes and AI workflows; collaborate across research, engineering, and product teams; support technical publications, presentations, invention disclosures, and patent development.