Top AI Research Jobs in Austin, TX

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.

Researches, develops, tests, and maintains materials-aware machine learning models and software. Designs scalable ML systems, improves model interpretability and uncertainty quantification, and develops inverse-design capabilities. Collaborates with product, engineering, and external research teams to deliver customer-focused AI solutions, publishes research, reviews code, analyzes model performance, and mentors developers.

Oversee global analytics and algorithm design initiatives for a nonprofit: identify high-impact projects, coordinate with student directors, collect feedback, design and run training for developers and technical advisors, and form partnerships to support implementation. Volunteer commitment ~5-6 hours/week.

One-year AI research fellowship for B.Tech, M.Tech, and PhD students offering a monthly stipend, research project, industry internship, computing resources, and conference support. Fellows submit resume, SOP, research proposal, and recommendations.

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, explanations, and trustworthiness. Provide clear written and video feedback, distinguish response quality levels, and help define standards for tools such as Codex, Claude Code, and Cursor. The role requires senior engineering experience, strong TypeScript/JavaScript or Python skills, familiarity with AI-assisted development, excellent English communication, and comfort making rigorous subjective judgments.

Conduct applied AI and psychometric research evaluating the reliability, validity, and fairness of educational products. Analyze large-scale data, apply methods such as IRT and generalizability theory, collaborate with internal and external researchers, and communicate findings through technical documents, presentations, publications, and advisory committee materials.

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

Conduct research on frontier AI systems, including synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarking, and evaluation. Design rigorous experiments, datasets, prototypes, tooling, and research workflows; train and assess models; analyze results; and translate findings into scalable AI products. Collaborate across research, engineering, product, and operations teams, communicate technical conclusions, contribute to publications or open-source work, and mentor engineers and researchers.

Join a research and advisory pipeline for an asset-management startup building an auditable reasoning engine. Advise on agentic AI, world models, interpretability, and systemic risk. Help shape research direction, identify failure modes and guardrails, and provide scholarly evidence (papers, GitHub, Google Scholar) and a short written response to demonstrate expertise.

Develop robotics datasets and evaluations for embodied AI systems. Responsibilities include defining data schemas, annotations, quality standards, collection protocols, validation tools, and review workflows. The role also involves running experiments to assess how data quality and structure affect model performance, collaborating with research, engineering, vendors, and customers, and taking research tools from conception through deployment.