Senior Staff/Technical Lead Machine Learning Engineer
- Published on
About the Role
As a Senior Staff/Technical Lead Machine Learning Engineer at Harnham, you will join a fast-growing tech company specializing in behavioral modeling and personalization. You will lead a team that utilizes one of the largest consented behavioral datasets in the U.S. to create AI solutions for top global brands. Your responsibilities will include designing, building, and deploying machine learning models focused on ad optimization and recommendation systems, as well as developing ML pipelines that leverage rich behavioral signals.
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 to drive 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 fast-paced, data-rich environment.
- Contribute to the development of scalable infrastructure using tools like Airflow, Spark, and CI/CD platforms.
- Work cross-functionally to bring zero-to-one ML products to market and continuously refine them post-launch.
- Stay updated on emerging ML techniques in RecSys, behavioral modeling, and model optimization.
About the Candidate
To be considered for this role, you should have an MSc or PhD in a STEM field and proven experience in building and deploying machine learning systems in a commercial setting. A strong background in AdTech or recommender systems is essential, along with hands-on experience with orchestration tools like Airflow and data infrastructure tools such as Spark and SQL. DevOps knowledge, familiarity with cloud platforms, and strong collaboration skills will be critical for success in this role.
About the Company
Harnham is a mission-driven tech company at the forefront of the behavioral modeling and personalization realm. The team comprises seasoned ML professionals from top-tier companies and partners with major cloud providers to offer novel AI products in the market.
Salary and Benefits
- Base salary ranges from $300,000 to $350,000.
- Meaningful equity and financial upside.
- Fully remote work with hybrid options available in Boston, SF Bay Area, Seattle, and NYC.