Note: The job is a remote job and is open to candidates in USA. Harnham is recruiting for a leading technology organization building machine learning products that support real-time e-commerce decisions at scale. The ML Engineering Manager will lead and grow an engineering team, manage a portfolio of experiments, provide technical mentorship, and partner with risk, platform, and infrastructure teams to drive ML direction and reliable production systems.
Responsibilities
- People Leadership: Conduct regular 1:1s, provide continuous feedback, and support individual career development and skill growth
- Culture: Foster a safe, transparent environment where open discussion is encouraged—including celebrating well-documented experimental results that didn't work
- Hiring: Conduct technical and hiring manager interviews, train the team on interviewing techniques, and raise the bar for talent as the team grows
- Technical Mentorship: Partner with Tech Leads to pressure-test and refine ideas, ensuring the strongest hypotheses receive the compute and headcount needed
- Rigor & Evaluation: Bring statistical rigor to experimental outcomes. Ensure offline results predict online behavior and evaluate performance beyond single test windows
- Portfolio Management: Balance short-term delivery targets against multi-quarter research bets. Make clear calls on when to iterate, launch, or pull the plug on workstreams
- Stakeholder Alignment: Work directly with Risk partners to translate complex ML metrics into actionable business outcomes
- Autonomy: Operate with high autonomy to set team directions based on measured performance data rather than rigid product backlogs
- Cross-Functional Collaboration: Partner with platform and infrastructure teams to improve feature systems, training pipelines, and experimentation tooling
Skills
- 5+ years in ML, Data Science, or ML-adjacent software engineering, including 3+ years of direct people management experience
- Genuine depth in applied statistics, ML engineering, or software engineering—with working competence in the others. You should feel comfortable reading code and inspecting evaluation pipelines
- Proven ability to lead teams through ambiguous problem spaces, set clear directions, and adapt when data points in a new direction
- Exceptional written and verbal communication skills
- Ability to articulate complex technical ideas clearly in documents and present to executive leadership
- A strong commitment to correctness, reproducibility, and reliable production systems
Benefits
- Lead a collaborative, ground-up culture where those closest to the problems are empowered to solve them.
- Enjoy a high degree of autonomy in a fast-paced, evidence-driven engineering environment.
Company Overview
Company H1B Sponsorship