Applied Machine Learning (ML) Manager
SentiLink · Remote · United States ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote (US)
- Manage 4-6 ML scientists
- Fraud & Identity focus
- $200k-$250k + equity
- Hands-on leadership
You will manage a team of applied ML scientists, guiding them through model development, experimentation, and technical decision-making. This position requires staying close to the work, including code reviews and direct contributions to production systems, while partnering with product and engineering leaders to deliver impactful solutions.
What you'll do
- Directly manage and mentor a growing team of applied ML scientists
- Own execution priorities, delivery, and results for your domain
- Conduct code reviews and contribute to production systems
- Partner with leadership to prioritize work and deliver ML solutions
- Develop fraud detection and identity models across the full lifecycle
- Research emerging fraud patterns and build new ML capabilities
- Integrate AI tools into team workflows and product exploration
What you'll need
- 6+ years applying ML or statistics to real-world problems
- 3+ years directly managing ML or data science teams
- Experience in fraud, identity, fintech, or banking domains
- Bachelor's, Master's, or PhD in a quantitative discipline
- Proven success deploying production ML models and Python code
- Strong practical knowledge of ML and applied statistics
- Comfortable with modern LLMs and AI-assisted development
- Must be legally authorized to work and live in the United States
Stack
- Python 3
- PostgreSQL
- AWS
- XGBoost
- scikit-learn
- pandas
- Elasticsearch
- OpenSearch
- Neo4j
- MLflow
- Flyte
- LLM tooling
How you'll work
- Fully remote within the United States
- Digital-first company with US and India collaboration
- Regular in-person events for relationship building
What you get
- Employer-paid group health insurance for dependents
- 401(k) plan with employer match
- Flexible paid time off
- Home office stipend
- Equity compensation