Top AI Research Jobs in Austin, TX

As a Staff AI Researcher, you will develop AI solutions, work with complex data sets, redesign systems, and implement AI/ML techniques for health improvement.

The VP of Research, Machine Learning will set research direction for AI systems, focusing on context representation, reasoning, and evaluation frameworks while ensuring product safety and alignment.

Design and maintain a realistic benchmark suite of open-ended office tasks, create grading rubrics, run and analyze frontier AI models, produce public-facing evaluations and visualizations, and improve/automate evaluation workflows.

Evaluate AI outputs across pre-call, in-call and post-call advisor workflows in ORA. Classify failure modes, document patterns, iterate on prompts and knowledge-base entries, test fixes, and surface trends to drive improvements alongside Lead Analyst and engineering.

Lead and grow a senior machine learning and causal inference research team; define long-term research strategy; balance foundational and applied projects; partner cross-functionally to translate research into product impact; build external academic collaborations, publications, and a high-performing research program.

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.

Seeking a Principal AI/ML Researcher and Engineer to lead research and development in Bayesian Learning and Reinforcement Learning. This role involves architecting large-scale AI systems, model development, and driving technical strategy for innovative AI platforms that enhance personalization and decision-making at Airbnb.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

Lead long-horizon R&D to define future decision intelligence: explore reasoning architectures, prototype and formalize system primitives, evaluate new signal classes, and translate research into reusable components aligned to strategic product direction.

The VP of Data and AI will define and execute data and AI strategies, lead technical teams, oversee data platform infrastructure, and drive measurable business outcomes.