Machine Learning Engineer

Responsibilities

• Rapidly implement and iterate on machine learning models, signals and research ideas
• Design and run experiments to evaluate and improve model and agent performance and investment impact
• Build reproducible workflows for feature generation, training, validation and evaluation
• Work with large-scale financial, fundamental and alternative datasets to identify predictive signals and improve model performance

Requirements

• 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
• Leverage Claude Code, Codex, or other coding agents

Qualifications

• BS/MS/PhD in Computer Science or a related field, or equivalent practical experience

Skills

• 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

• Adequate medical, dental, and vision coverage
• Strong benefits package including catered lunches in our Menlo Park office, commuter benefits, and more

Pay

• $200K - $280K

Schedule

• Hybrid: 3 days per week on-site at our office in Menlo Park, CA