Technical Lead Machine Learning Engineer
Harnham — Hayward, US
- Published on
About the Role
Harnham is seeking a Technical Lead Machine Learning Engineer to be central in building and scaling ML-powered products. This role specializes in developing solutions for ad optimization and recommendation systems, leveraging one of the largest consented behavioral datasets in the US. The team consists of seasoned machine learning professionals who collaborate with major cloud providers to innovate in the AI space.
Responsibilities
- Design, build, and deploy end-to-end machine learning models focused on ad optimization and personalization use cases.
- Develop ML pipelines and production systems using behavioral signals to enhance user value and business ROI.
- Collaborate with product and R&D teams to execute high-impact, ML-first product strategies.
- Lead experimentation and model evaluation in a data-rich environment.
- Contribute to scalable infrastructure development using tools like Airflow, Spark, and CI/CD platforms.
- Work cross-functionally to bring zero-to-one ML products to market and refine them post-launch.
- Stay informed on emerging ML techniques in recommendation systems and behavioral modeling.
About the Candidate
The ideal candidate will have:
- MSc or PhD in a STEM field.
- Proven experience in building and deploying machine learning systems commercially.
- Strong background in AdTech or recommender systems, with a solid understanding of personalization, targeting, and user intent modeling.
- Hands-on experience with orchestration tools (Airflow, Bazel), data infrastructure (Spark, SQL, Scala, or Python), and DevOps knowledge including CI/CD best practices.
- Familiarity with cloud platforms (AWS, Databricks) and ML tooling (MLFlow, TensorFlow, Kubernetes).
- Strong collaboration and communication skills, with a product-oriented mindset and a proactive attitude suited for a dynamic startup environment.
About the Company
Harnham is a mission-driven tech company in the behavioral modeling and personalization space, dedicated to delivering private-by-design AI solutions for major global brands and platforms.
Salary and Benefits
- Base salary range: $300,000 – $350,000
- Meaningful equity and financial upside.
- Fully remote work options with hybrid setups available in Boston, SF Bay Area, Seattle, and NYC.
How to Apply
Please register your interest by submitting your CV via the Apply link on this page.