Top AI & Machine Learning Jobs

Oversaw design and deployment of digital workflows using GenAI models, defined product roadmap, and led development of complex AI agents.

Lead the development of speech processing technologies, mentor a team, optimize ASR models, and execute the speech technology roadmap.

The Chief Data Scientist will lead AI/Data Science initiatives, managing teams and developing strategies to drive business growth through data-driven solutions.

Lead development of AI-powered features and scalable agent infrastructure for Hex. Partner with Research on model prompting, build experimentation tooling, and deliver performant full‑stack user experiences using web and backend systems. Mentor engineers and drive major product initiatives.

The Applied Researcher II will work on developing AI foundation models, partner with cross-functional teams, and engage in impactful research to enhance customer experiences using advanced AI techniques.

As a Sr. Lead AI Engineer, you will design, develop, and manage AI software components, working with cross-functional teams to advance AI applications at Capital One.

Lead AI Engineer responsible for creating and deploying AI solutions, collaborating with cross-functional teams to innovate AI-powered banking products, and driving the technical vision for foundational AI systems.

The Senior AI/ML Tooling Engineer develops tools for optimizing ML models and collaborates across various AV teams to enhance performance analysis and model architecture.

As an AI/ML Engineer, develop and optimize analytics frameworks to enhance autonomous vehicle development, focusing on automation tools and collaboration with engineering teams.

The Staff AI/ML Vehicle Motion Control Engineer leads AI-enabled vehicle motion control initiatives, defines technical roadmaps, and collaborates across teams to deliver robust control platforms.

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 AI Automation Senior Lead will build AI infrastructure, evaluate AI tools, redefine workflows, and maximize efficiency across teams at Taskrabbit.

This internship focuses on researching low-latency ML inference and hardware acceleration, involving project ownership, collaboration with engineers, and presenting findings.

As a Senior Data Scientist in Fraud Risk, you'll develop metrics, real-time monitoring systems, and implement predictive machine learning models to mitigate fraud while balancing customer experience.

Design, build, and deploy LLM-powered applications, collaborating with Data Science teams to ensure agent systems operate reliably in production. Handle full lifecycle from prototype to production, integrating APIs and managing workflows.