Poesis
FinTech
MachineLearningEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Machine Learning Engineer at Poesis. Skills: Machine Learning, AI, Agent development, Production deployment. Implement and iterate on machine learning models. Implement and iterate on signals”
Industry & Context.
What They're Looking For.
Must Have
5+ years experience Machine Learning Engineer, Python and SQL skills, Experience developing, evaluating and deploying ML models in production, Success building reproducible research workflows, BS/MS/PhD in Computer Science or related field, or equivalent practical experience
Nice to Have
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, AI workflows for parsing financial documents
What You'll Do.
Implement and iterate on machine learning models
Implement and iterate on signals
Implement and iterate on research ideas
Run experiments to evaluate model performance
Run experiments to evaluate agent performance
Run experiments to evaluate investment impact
Build reproducible workflows for feature generation
Build reproducible workflows for training
Build reproducible workflows for validation
Build reproducible workflows for evaluation
Work with financial datasets
Work with fundamental datasets
Work with alternative datasets
Identify predictive signals
Improve model performance
Full Job Description
ABOUT POESIS Whoever builds the leading intelligence for finance will create far more than returns. Poesis is the AI-native investment firm running autonomous agents that predict markets, construct portfolios, and manage risk. Our founders managed institutional capital at Capital Group ($3T AUM) and led enterprise ML at Goldman Sachs and Amazon. We're building a new type of firm, where live capital is the training ground for an intelligence that compounds with every signal. ABOUT THE ROLE At Poesis, machine learning and artificial intelligence open the door to improved alpha discovery, higher quality decision-making and intelligent risk management. 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. 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 REQUIRED COMPETENCIES - 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
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