Engineering Manager, Machine Learning
Lead and grow Sentry's Machine Learning Engineering team, setting technical direction for classical ML and LLM-based systems while partnering with product and engineering leaders. Requires 8+ years engineering experience (3+ in management) and hands-on ML production expertise.
About the job
Responsibilities
- Set technical direction across the team's full ML surface area — from classical models for clustering, ranking, and anomaly detection to LLM-based and agentic systems — and make sharp calls about which approach fits each problem
- Define how the team evaluates and monitors ML systems in production, from offline metrics to online experimentation to model and agent observability
- Stay hands-on enough to review code and model designs, contribute to architecture discussions, and unblock engineers on complex ML problems
- Define team roadmap and deliverables, scope work, allocate resources, and keep execution on track against ambitious goals
- Partner with product managers, designers, and engineering leaders across Sentry to identify the highest-impact opportunities for ML in our products
- Foster career growth for the engineers on your team, and recruit exceptional ML talent as the team scales
Qualifications
- 8+ years of professional engineering experience, with significant time spent building and shipping machine learning systems in production
- 3+ years of engineering management experience, ideally leading ML, AI, or data-focused teams
- Familiarity with deploying and operating ML models at scale, including evaluation, monitoring, and iteration in production
- Strong judgment in ambiguous, fast-moving environments
- Excellent written and verbal communication; comfortable working across product, research, and engineering
Nice-to-Haves
- A research background in machine learning, statistics, or a related field (MS, PhD, or equivalent research experience)
Skills
Machine Learning, LLMs, Clustering, Anomaly Detection, Model Evaluation, Ranking Systems, Embeddings, Production Monitoring, Engineering Management, Agentic Systems
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