Top AI Research Jobs in Austin, TX

As a Senior Lead AI Solutions Consultant, you'll drive revenue by promoting the BrazeAI portfolio, leading technical discussions, and conducting AI Academy workshops, while collaborating across teams to enhance Braze's offerings.

As Founder in Residence, you'll identify and develop AI-centric businesses, create MVPs, lead teams, and secure stakeholder buy-in while transitioning successful ventures to long-term leadership roles.

Lead MongoDB's internal data product portfolio, focusing on GTM, analytics, and self-serve data capabilities while managing a team of Product Managers.

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.

As Director of User Insights, you'll lead a research team, utilizing qualitative and quantitative methods to inform product decisions and improve user experiences. You will ensure research connects to actionable outcomes and supports product development initiatives.

The VP of GSI Partnerships will define and execute the global partnership strategy, manage relationships with top-tier GSIs, and drive revenue through joint opportunities while mentoring a small team.

The Research Engineer will improve dataset quality for self-driving systems by designing algorithms for auto-labeling and data monitoring, collaborating with teams, and enhancing model performance.

Lead machine learning research initiatives, develop algorithms, manage projects, mentor researchers, and collaborate with industry stakeholders.

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 Director will lead research initiatives in AI and ML, oversee research teams, design novel model architectures, and collaborate with engineering to implement scalable capabilities.