Jobs with visa sponsorship in United States

About the role

We're looking for an exceptional Machine Learning Engineer to help build the systems that make this possible. In this role, you'll develop models, signals and evaluation frameworks that power investment decision-making across the platform. You'll work across the full machine learning lifecycle, from experimentation and model and agent development to deployment and iteration, with significant ownership over both research and production outcomes. As an early team member, you’ll help shape not just the product, but how the company operates. Your decisions will have lasting impact across the business. You’ll build from first principles, with no legacy systems, or entrenched processes slowing you down. Our team is made up of people from elite companies and universities who are low ego, collaborative, and excited to build together.

What you'll bring

• 5+ years experience as a Machine Learning Engineer, or related role
• Prior experience at a frontier AI lab, agentic startup, leading hedge fund, big tech company, or similar
• Strong Python and SQL skills, with experience working with large-scale datasets
• Experience developing, evaluating and deploying machine learning models in production environments
• Success building reproducible research workflows and experimentation frameworks
• Familiarity with modern AI systems, including LLMs, evaluation frameworks, and agent workflows
• Skill leveraging Claude Code, Codex, or other coding agents
• BS/MS/PhD in Computer Science or a related field, or equivalent practical experience
• Experience developing ML and AI systems using financial, fundamental, alternative, or time-series datasets
• Familiarity with quantitative investing, portfolio construction, or risk management
• Experience with PyTorch or TensorFlow, and AI workflows for parsing financial documents (filings, transcripts)

Benefits

Locations