Top AI Research Jobs in Austin, TX

Lead development and deployment of state-of-the-art RL algorithms for locomotion and manipulation on humanoid robots. Prototype in simulation, transfer and fine-tune on hardware, optimize distributed training pipelines, mentor junior engineers, and collaborate with hardware teams to analyze results and improve sim-to-real performance.

Design and research agentic AI systems for cybersecurity: fine-tune and post-train LLMs (RLHF/RLAIF), build agent architectures and eval pipelines, optimize prompts and inference, collaborate with engineering to productionize prototypes, and establish rigorous benchmarks and metrics.

Lead MongoDB's strategy to increase LLM and answer-engine visibility by optimizing content, structured data, and community signals. Build and scale an AEO/SEO team, implement technical information architecture (JSON-LD, knowledge graphs, RAG-friendly docs), coordinate UGC/community advocacy, evangelize AI-first content practices, and develop analytics/attribution (Share of Model, citation impact) to drive PLG acquisition.

Manage and coach a team of mentors to ensure delivery outcomes for ~200 AI fellows at scale. Build delivery systems, run operational cadence, lead live instruction when needed, translate field signals into curriculum changes, and partner with strategic partners to close the feedback loop between mentors, fellows, and the curriculum team.

Lead enterprise discovery to identify high-value AI use cases, scope engagements (outcomes, milestones, pricing), support sales and proposals, stay embedded through delivery to drive expansion, and develop industry AI roadmaps and positioning.

Evaluate AI-generated coding interactions end-to-end, judging usefulness, high-level correctness, engineering judgment, explanations, and reasoning. Provide clear, opinionated feedback, distinguish quality levels, and help define standards for excellent AI-assisted developer interactions.

Lead discovery and delivery of AI-enabled clinical decision support features for UpToDate. Translate clinician and business needs into product requirements, experiments, roadmaps, and success metrics. Partner with engineering, design, clinical, content, analytics, and commercial teams to build responsible, trusted AI experiences that improve clinician workflows, adoption, and satisfaction.

The AI Research Scientist will develop novel algorithms, lead experimental design, and mentor engineers while focusing on privacy-preserving AI solutions.

As an AI Strategist, you will lead AI strategy engagements, mentor teams, identify business opportunities, and communicate complex AI concepts to clients.

Provide strategic, high-level AI advisory to enterprise clients: assess data readiness and architectures, evaluate LLM and integration viability, design tech-agnostic AI roadmaps and governance, present ROI-backed recommendations to C‑suite, scope billable engagements, and build reusable evaluation frameworks and onboarding programs.