Amperity

Senior Machine Learning Engineer

Seattle, WA · Senior

Sponsorship not specified$186k-$255kDetected 8 days ago

PythonDockerKubernetesTerraformCI/CDMachine LearningPyTorchSparkMLOpsA/B TestingIncident ResponseHRISCollaborationMentoringPlain Language

About the role

At Amperity, ML Engineers work in small, collaborative, and accountable teams.
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.

Our goal is to build a highly impactful, generational business.
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.
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.
Design the CI/CD pipelines and deployment architecture for the ML systems your team owns, making them reliable, repeatable, and easy to operate.
Build automated retraining pipelines triggered by performance degradation, and architect monitoring solutions with drift detection and alerting.
Design real-time and batch feature pipelines that power identity resolution, customer segmentation, and predictive models at scale.
Improve model inference latency to deliver predictions that meet strict Service level agreements while keeping infrastructure costs in check.
You own technically complex pieces of your team's ML architecture.

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.

Large-scale data engines like Apache Spark, Presto, and Kafka.
MLOps tooling including MLflow, feature stores, and model serving frameworks.
Cloud-native infrastructure built with Kubernetes and Terraform, deployed across multiple cloud providers.
Functional programming languages including Clojure and Python for ML pipelines.
Machine learning models for entity resolution, classification, and customer analytics.

Base Salary: $185,600-$255,000.
Individual compensation within this range will depend on several factors, including your skills, experience, education/training, geographic location and the level at which you join.
Stock Options: The opportunity for ownership is an exciting part of Amperity's total compensation package. Every employee at Amperity receives a new-hire equity grant, commensurate with the scope of their position.

We also offer self-managed PTO and the flexibility to do your best work in the way that works for you.
For more details on our benefits, please see our US Benefits & Perks Guide.
Every employee at Amperity receives a new-hire equity grant, commensurate with the scope of their position.
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.

About Amperity-Why This, Why Now
Most customer data is a lie by omission.
Every consumer brand wants to know its customers.
Unfortunately, almost none actually do.
Data is scattered across a dozen systems, half of it contradicts the other half, and "insights" teams are forced to act on incomplete guesses.
We started Amperity ten years ago because that gap-between what a brand believes about its customers and what is true-is the most expensive problem in the industry, and nobody had solved it.
With a lot of hard work and a little bit of luck, we did.
Our patented identity resolution takes billions of messy, conflicting records and resolves them into an accurate picture of a real human being-in hours, not months.
That's not a feature; it's the foundation everything else stands on.
It's why more than 400 brands -like Alaska Airlines, Wyndham Hotels & Resorts, DICK'S Sporting Goods, Virgin Atlantic, and Brooks Running-trust us with the one thing they can't afford to get wrong, and why IDC named us a Leader in the category in 2026.
Now we're doing something harder.
We're rebuilding Amperity as an AI-first company-not bolting a chatbot onto old software, but putting agents at the center of how customer data actually gets used.
We shipped the industry's first identity resolution agent, then the first enterprise Customer Data Agent that turns a plain-language question into a live segment without waiting on an engineering queue.
We are an AI-first company.

This listing is sourced directly from Amperity's careers page and normalized into a canonical job model.