Top AI & Machine Learning Jobs

Walleye Capital is seeking a Data Scientist to leverage quantitative strategies and analyze data to drive investment decisions in a collaborative environment.

Join the founding engineering team to build and scale applied-AI agent products for home services. Own front-end and full-stack features, automate onboarding and payroll workflows, and help mature the AP product from beta to production. Work closely with CTO and CS to design systems and ship reliable, customer-facing AI workflows.

Design and ship a 14-domain skills taxonomy and SDK/CLI tooling, operate the MCP server, integrate agent protocols, improve LLM grounding for crypto, run developer hackathons, and produce technical content to grow the ecosystem.

Design, build, and maintain LLM integrations and AI features; own end-to-end delivery from requirements to production monitoring; ensure scalability, reliability, observability; leverage AI agents to improve developer and operational efficiency; collaborate cross-functionally.

Manage distributed machine learning workloads using Slurm and Kubernetes, ensuring cluster operations and mentoring engineers in best practices.

The Machine Learning Scientist will build and integrate ML models, analyze data, design scalable pipelines, and ensure robust model testing.

Build and evolve AI systems to enhance investment insights, integrating models and optimizing outputs for professional investors in a fast-paced environment.

Lead NLP projects, design scalable AI solutions for clients, mentor junior staff, and translate complex AI capabilities into business strategies. Develop and implement text analytics platforms.

The Senior Scientist will develop in-silico platforms for protein engineering, lead technical teams, and collaborate with other scientists while implementing computational workflows.

Design and develop core robotics libraries and applications for AI-powered robots, leading R&D projects and supporting software deployment in production.