Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead a team of data scientists and ML engineers building production-scale NLP, LLM, RAG, and agentic content systems. Set AI strategy, develop evaluation and monitoring practices, prototype and deploy models, and integrate AI into distributed platforms. Partner with engineering, product, legal, and design teams to deliver reliable, scalable solutions while balancing latency, cost, accuracy, and business impact. Mentor team members and establish responsible AI, experimentation, data preparation, and model-serving standards.

Lead design and validation of AI-driven legal product capabilities: develop NLP/LLM and generative AI solutions (RAG, prompts), design agentic workflows, build retrieval/hybrid search strategies with embeddings and vector DBs, analyze large legal datasets, establish model evaluation best practices, translate results into product recommendations, collaborate with product and engineering, and mentor junior team members.

Student Representative position for a law school student supporting LexisNexis Legal & Professional. The posting provides company and equal opportunity information but does not specify detailed responsibilities, compensation, travel, or security requirements.

Report on California’s legal industry and the adoption of legal technology and AI across law firms, courts, and regulators. Break news, uncover scoops, identify trends, cultivate expert sources, and produce clear coverage ranging from quick-turn stories to features and enterprise reporting. Translate complex technical concepts for a sophisticated legal audience while covering generative AI, SaaS, legal innovation, and the changing economics and practice of law.

The Lexis Associate position is for law students assisting in enabling legal professionals with technology solutions and business information.

Lead design and validation of agentic AI capabilities for legal workflows using LLMs, NLP, RAG, hybrid search, embeddings and vector databases. Drive experimentation, evaluation, and metrics, translate results to product recommendations, collaborate with engineers and legal experts, and mentor team members.

Partner with in-house legal teams to design and implement tailored LexisNexis AI and workflow solutions, lead demos and training, drive adoption, identify expansion opportunities, gather client feedback for product and development teams, and support clients in the field (50% travel).