Job Description
The Lead Machine Learning Engineer at Amperity is responsible for leading ML projects, developing scalable ML infrastructure, and guiding cross-functional teams to deliver AI-driven customer data solutions that enhance personalization and business impact.
Key Responsibilities
- Lead and guide ML projects across multiple teams, setting technical direction and platform capabilities.
- Collaborate with Applied Scientists, Software Engineers, Product, and Customer Success teams to deliver production ML systems.
- Design and build ML platform components such as feature stores, model registries, and serving infrastructure.
- Develop automated training and deployment pipelines to support model improvement and handle data drift.
- Create real-time and batch feature engineering systems for identity resolution, customer segmentation, and predictive modeling.
- Optimize model inference latency to meet service level agreements while managing infrastructure costs.
- Establish MLOps best practices, operational standards, and monitoring to ensure reliable and maintainable ML systems.
- Mentor engineers and influence the technical strategy for ML infrastructure and systems.
Requirements
- 8 years of experience building production ML systems, with experience designing ML infrastructure and platforms.
- Technical leadership experience driving ML platform evolution or major ML projects across multiple teams.
- Expertise in ML deployment patterns, model serving, feature engineering, and monitoring observability for ML systems.
- Software engineering skills with experience in Python and familiarity with ML frameworks e.g. XGBoost, PyTorch, PySpark.
- Experience with cloud-native ML infrastructure, containerization, and orchestration tools such as Kubernetes and Docker.
- Experience aligning ML technical strategy with organizational priorities and customer needs.
- Mentor engineers and improve how ML systems are built and operated.
- Turn ambiguous ML infrastructure problems into actionable plans and guide teams through delivery.
Benefits & Perks
Compensation/salary range: 190,000-260,000 USD base salary
Work schedule: Hybrid model with three days in the office each week
Work environment perks: Employee healthcare coverage, transportation subsidies, snacks, in-person and remote events and activities, self-managed PTO, flexible work arrangements
Additional benefits: Stock options, cash incentives, inclusive and challenging work environment, opportunities for professional growth and mentorship
Ready to Apply?
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