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.

Supports AI safety, robotics, cybersecurity, Physical AI, and advanced mobility projects. Conducts research on standards, regulations, and emerging technologies; assists with safety assurance and consulting activities; develops reports, presentations, workshops, and client deliverables; and contributes to AI safety, cybersecurity, robotics, and technology capabilities.

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.

Evaluate AI model outputs, conduct audit-based reviews, identify patterns and failure modes, apply and improve evaluation guidelines, and document actionable findings. The role requires native-level Marathi, strong English, structured writing, GenAI safety knowledge, critical thinking, and comfort making judgment calls in ambiguous situations. Associates collaborate with leads and stakeholders, participate in calibrations, and help refine quality standards. This is a full-time, one-year, 100% onsite contract role in specified U.S. cities.

Supports evaluation of Agentforce performance through synthetic testing, AI output analysis, metrics monitoring, root-cause analysis, and reporting. Maintains scoring frameworks, golden datasets, prompts, utterance repositories, and documentation. Partners with engineering, operations, support, and data science teams to identify risks, improve automation, and inform product decisions. Delivers actionable insights, targeted feature evaluations, and quality recommendations while enabling stakeholders on evaluation processes.

Conduct research in neuromorphic AI for edge computing, robotics, signal processing, control, and autonomous systems. Design algorithms, develop research software, build benchmarks, and optimize models for sparsity, latency, memory, quantization, and energy efficiency. Collaborate with hardware and software teams to define architectures, create customer prototypes, publish findings, and advance neuromorphic computing toward commercial applications.

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

The AI Research Scientist will design, train, and optimize state-of-the-art machine learning models, conduct research on model efficiency, and collaborate with engineering teams to ensure real-world impact.

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.

Lead market narrative, positioning, and GTM for Fastly's AI initiatives. Drive launches, sales enablement, analyst relations, buyer insights, competitive intelligence, and cross-portfolio AI storytelling to increase adoption of edge AI, inference, and developer-facing AI capabilities.