Top AI Research Jobs in Los Angeles, CA

The Lead Bioinformatics AI Scientist will lead AI and GenAI R&D initiatives to develop advanced clinical testing and genomic data analysis platforms, leveraging expertise in bioinformatics and machine learning.

Two research fellows will receive a stipend and compute credits to pursue projects in legal AI and automated negotiation. Fellows get expert access, private contract data, and are expected to produce a publishable paper, benchmark, or open-source artifact. Research topics include reward modeling under expert disagreement, negotiation simulation, minimal-diff editing benchmarks, uncertainty/hand-off strategies, or related legal AI problems.

The SME will develop a curriculum on AI for finance, creating engaging content and videos to train finance professionals in AI applications. They must leverage their extensive finance experience and AI understanding to enhance learner success.

Lead research and engineering for Nemotron post-training pipelines: develop synthetic data and agentic RL algorithms, build large-scale data and training infrastructure, collaborate on vendor data acquisition, optimize inference/deployment, and publish results.

Lead requirements discovery and solution evaluation for AI products: run structured elicitation, produce requirements artifacts, design validation activities, evaluate vendors and pilots, manage product portfolio through evaluation/planning, ensure implementation fidelity, create SOPs and templates, and partner cross-functionally to align scope, budget, and adoption.

Create and solve advanced physics problems and develop clear step-by-step solutions and annotations to evaluate LLM reasoning. Build undergraduate-to-PhD benchmarks, collaborate with LLM researchers to improve evaluations, analyze model weaknesses in abstraction and symbolic reasoning, and provide constructive feedback.

Support consulting engagements and research across the semiconductor and AI stack by performing technical analysis, cross-stack research, analytical modeling, and preparing client-facing reports, presentations, and briefings. Track industry trends, evaluate hardware and AI model developments, and collaborate with senior consultants to translate technical insights into strategic recommendations.

Lead product marketing and demand generation for AI Simulation offerings: craft positioning and messaging, produce campaign and sales enablement assets, plan product launches, run outbound and nurture programs, and translate complex technical science into buyer-facing value to drive awareness and pipeline.

The role involves supporting strategy and operations across R&D, product, and commercial domains, focusing on alignment, execution, and visibility for diverse initiatives in precision medicine.

Lead AIR's AI Century Study by shaping strategy, guiding interdisciplinary research, managing longitudinal data collection and governance, cultivating cross-sector partnerships, translating findings for policy and public audiences, and supervising a multidisciplinary team to ensure rigorous, ethical, and influential long-term research.