3 months ago
Base Salary
$200k - $280k/yr
Responsibilities
- Implement and iterate rapidly 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.
- Contribute across the full machine learning lifecycle, from experimentation and model and agent development through deployment and iteration.
Requirements
- At least 5 years of experience as a Machine Learning Engineer or in a related role.
- Prior experience at a frontier AI lab, agentic startup, leading hedge fund, big tech company, or similar organization.
- Strong Python and SQL skills and experience working with large-scale datasets.
- Experience developing, evaluating, and deploying machine learning models in production environments.
- Demonstrated success building reproducible research workflows and experimentation frameworks.
- Familiarity with modern AI systems, including LLMs, evaluation frameworks, and agent workflows.
- Ability to leverage Claude Code, Codex, or other coding agents.
- BS, MS, or PhD in Computer Science or a related field, or equivalent practical experience.
- Preferred experience developing ML and AI systems with financial, fundamental, alternative, or time-series datasets.
- Preferred familiarity with quantitative investing, portfolio construction, or risk management.
- Preferred experience with PyTorch or TensorFlow and AI workflows for parsing financial documents such as filings and transcripts.
- Current legal authorization to work in the United States is required.
Benefits
- Hybrid schedule with 3 days per week on-site at the Menlo Park, California office.
- Relocation allowance available.
- Medical, dental, and vision coverage.
- Catered lunches and commuter benefits.
- Continuing work visa sponsorship available for full-time employees.
Categories
About Poesis
Whoever builds the leading intelligence for finance will create far more than returns. Poesis is the AI-native asset manager running autonomous agents that predict markets, construct portfolios, and manage risk. Live capital is the training ground for an intelligence that compounds with every signal.
