Sr Machine Learning Engineer

Senior Machine Learning Engineer

Location: New York, NY (Or Boston, MA)

About the Company

We’re a leading financial services startup revolutionizing a specific untapped vertical. We have incredible product market fit and backing. Our teams leverage cutting-edge ML and AI to build predictive models, automate workflows and unlock new revenue opportunities.

What You’ll Do

Design, implement and maintain end-to-end ML pipelines: data ingestion, feature engineering, model training, evaluation and deployment

Develop and productionize quantitative models for pricing, risk forecasting, alpha generation and other finance-focused use cases

Integrate and fine-tune large language models (LLMs) for document analysis, report generation and conversational interfaces

Translate business needs into scalable, high-performance solutions

Monitor model performance in production, troubleshoot issues and iterate to improve accuracy, latency and robustness

What You Bring

5+ years of hands-on experience in applied science / ML engineering, with a track record of shipping production models in finance, fintech, or insurance tech.

Strong proficiency in Python, ML libraries (scikit-learn, PyTorch, TensorFlow) and MLOps tools (Docker, Kubernetes, Airflow, MLflow, etc.)

Demonstrated experience building predictive models for financial time series, credit/risk scoring or algorithmic strategies

Practical expertise with LLMs: prompt engineering, fine-tuning and deployment (e.g., Hugging Face Transformers, OpenAI API)

Solid software engineering skills: clean code, testing, CI/CD and version control

Self-starter who can own projects end-to-end, from ideation and prototyping through to deployment and maintenance

Excellent communication skills and ability to work cross-functionally in a fast-paced environment

Experience at (or a very strong desire to join) an early-stage startup

Nice to Have

Master’s or PhD in CS, Statistics, Applied Math, Financial Engineering or related field

Experience with cloud platforms (AWS, GCP or Azure) and distributed computing

Background in algo-trading, portfolio optimization or high-frequency data analysis

If you’re passionate about applying ML at scale in finance and thrive working independently on end-to-end solutions, we’d love to hear from you. Please apply with your resume and a brief note on your most relevant project.