Director, Machine Learning

At Amperity, we’re an AI-first company helping the world’s leading brands create personalized customer experiences that build loyalty and fuel growth. Our AI-powered Customer Data Cloud, built on multi-patented technology, enables more than 400 global brands, including Alaska Airlines, Wyndham Hotels & Resorts, and DICK’S Sporting Goods, to turn customer data into a competitive advantage.

We unlock the full value of customer data with simplicity and speed. AI is at the core of our platform and the way we work — from powering advanced identity resolution and predictive analytics to streamlining internal workflows and decision-making. It’s not just a capability; it’s part of our DNA.

Our team thrives on curiosity, collaboration, and transparency, fostering a culture where everyone can contribute, learn, and grow. We welcome talented individuals from diverse backgrounds to help us remove data bottlenecks, accelerate business impact, and push the boundaries of what AI can do for the world’s most innovative companies.

With offices in Seattle, New York City, London, and Melbourne, you’ll join a fast-growing team tackling critical challenges at the intersection of AI, data, and customer experience. Ready to make an impact? Let’s talk.

The Role

As Director of Machine Learning, you will lead the development, deployment, and optimization of machine learning systems that power Amperity's customer intelligence products. You'll guide innovation across our ML platform — scaling from applied research of new models to production deployment — while partnering with Product, Engineering, and Data Science to bring measurable impact for customers. You will report to the SVP, Engineering.

You will :

Lead a team of engineers and data scientists in building scalable, high-performance ML systems for customer data intelligence and personalization.

Lead the architecture, design, and productionization of ML models across entity resolution, predictive modeling, personalization, and LLM-driven customer intelligence.

Partner with Product and AI leadership to define the roadmap for ML capabilities embedded within Amperity's platform.

Improve best practices for experimentation, model evaluation, and continuous improvement of deployed models in production environments.

Champion MLOps excellence — ensuring model reliability, reproducibility, and maintainability.

Collaborate to deliver new features and capabilities that use ML to enhance customer experience and outcomes.Develop a team of engineers and applied ML practitioners, promoting a culture of technical thoughtfulness and curiosity.

Contribute to Amperity's external expertise through publications, talks, and collaboration with academic or industry research partners.

Interesting Problems

Production-scaled entity resolution and probabilistic record linking.

Predictive modeling for PCLV, product affinity, and channel optimization.

Generative and retrieval-augmented systems for customer intelligence.

LLM-powered interfaces for democratized data access and insight generation.

Reinforcement learning for campaign optimization.

Privacy-preserving machine learning techniques such as federated learning and differential privacy.

Real-time personalization and recommendation serving at scale.

About You

You have 15+ years of experience in data science or machine learning, including the integration of data science capabilities into a scalable customer-centric product experience.

You have experience mentoring other data scientists to achieve high levels of success, or you have previous management experience.

You excel at leading and operating in complex, cross-functional organizations where your teams must collaborate and integrate with others.

Deep understanding and demonstrated experience with data science tools, including Python, SQL, PySpark, scikit-learn, and cloud platforms of AWS, Azure, and / or Google Cloud.

Experience in defining and building KPIs that measure business and product outcomes, providing updates to senior leadership on a regular cadence.

Experience translating data science initiatives into revenue opportunities for C-suite executives.

Advanced degree in computer science, mathematics, engineering, or related field.

Location

Seattle, WA

Our hybrid work model includes three days in the office each week, providing a mix of in-person collaboration and remote flexibility

Compensation

Base Salary : $200,000-$275,000.

Within our pay range, individual salaries are determined by a variety of factors including, but not limited to : business considerations, local market conditions, internal equity, as well as candidate qualifications such as skills, experience, and education / training.

Cash Incentives :

Cash incentives are also available.

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.

Benefits

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.

Amperity is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, and reproductive health choices), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as someone with a disability, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.

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