Senior Machine Learning Engineer

At Amperity, ML Engineers work in small, collaborative, and accountable teams. As a Senior ML Engineer, you'll lead complex, ambiguous ML projects within your team's space and own technically deep pieces of its ML architecture. You'll create agreement and simplicity on your team. Being an ambassador for your work, you'll collaborate across team lines. Partnering with Applied Scientists, Software Engineers, and Product Managers, you'll deliver production ML systems that create measurable customer impact. We are an AI-first company. We expect engineers to embrace AI assistance tools like Claude Code as a core part of their daily workflow—using them to accelerate development and improve code quality. We keep our processes lightweight, our experimentation rigorous, and our focus on delivering value to our customers through machine learning products and features.

• You're a ML engineer who pairs deep technical judgment with the ability to build and operate production systems end-to-end. You own technically complex pieces of your team's ML architecture. Your teammates seek you out for advice in your space. You ramp quickly in unfamiliar areas—often leaning on AI tools to do it—and you embrace AI-first practices, helping establish how your team works with tools like Claude Code. You value simplicity, mentorship, and well-reasoned decisions.
• 5+ years building production ML systems, including hands-on experience designing ML pipelines and infrastructure.
• Experience leading complex or ambiguous ML projects within a team as the directly responsible individual.
• 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 (Kubernetes, Docker).
• Enthusiastic about AI-first development practices, with experience using AI coding assistants to accelerate engineering workflows.
• A habit of mentoring teammates, reviewing others' work, and elevating how your team builds and operates ML systems.

We offer all the benefits you'd expect from a great place to work: 100% employee healthcare coverage, transportation subsidies, a comfortable work environment with plenty of snacks, and other employee experience perks like events and activities, both in-person and remote. We also offer self-managed PTO and the flexibility to do your best work in the way that works for you. We provide an inclusive environment where you'll be challenged to find and unlock your full potential, surrounded by a team of world-class people driving for excellence. For more details on our benefits, please see our US Benefits & Perks Guide .