Machine Learning Engineering Manager
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Job Description
Machine Learning Engineering Manager leading a small team at Step to develop ML models for risk and fraud detection. Hands-on leadership role focusing on mentorship and strategy.
Responsibilities:
- Build and lead ML Team: Hire new team members, mentor the team members.
- Build and Deploy ML Models: You’ll design, develop, and deploy machine learning models to enhance our Risk and Fraud detection systems. These models protect Step and our customers from fraud and financial loss.
- Lead Technical Efforts: You’ll take the lead in the Risk/Fraud area, providing technical direction and helping shape team’s strategy.
- Data Manipulation: You’ll use SQL to efficiently fetch, transform, and manipulate data, ensuring it’s ready for model development.
- Code Development: You’ll write production-grade code to deliver robust machine learning solutions.
- Design Experiments: You’ll apply statistics to guide experiments, determine appropriate sample sizes, and evaluate model performance.
- Cross-Function Partnership: Partner with Operations Team to quickly respond to rapidly evolving events.
Requirements:
- 5+ years experience in Data Science or ML Engineering
- Proficiency in SQL and Python
- Ability to communicate clearly with both technical and non-technical audiences.
- Excellent data analysis skills.
- Leadership experience, both technical and people management.
- Experience developing and deploying machine learning models.
- Experience, but not required, in working in financial systems, including lending or risk/fraud.
Benefits:
- Competitive salary based on experience, with full medical and dental benefits 💸
- High potential for growth 📈
- Stock in an early-stage startup 🤩
- Flexible WFH and vacation policy 🏝
- Paid parental Leave 🐣
- Employee referral program 👯♀️👯
- 401K plan 💪🏻
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