Senior Staff/Technical Lead Machine Learning Engineer
- Published on
About the Role
Harnham is seeking a Senior Staff/Technical Lead Machine Learning Engineer to join and lead a team. This role will involve designing, building, and deploying end-to-end machine learning models with a focus on ad optimization and recommendation systems. The successful candidate will develop ML pipelines and production systems, partner with product teams to execute ML strategies, and contribute to scalable infrastructure development using tools such as Airflow and Spark.
Responsibilities
- Design, build, and deploy end-to-end machine learning models focused on ad optimization and recommendation systems.
- Develop ML pipelines leveraging rich behavioral signals to drive user value and business ROI.
- Collaborate with product and R&D teams to implement high-impact ML-first product strategies.
- Lead model experimentation and evaluation in a fast-paced, data-rich environment.
- Contribute to scalable infrastructure using tools like Airflow, Spark, and CI/CD platforms.
- Work cross-functionally to launch and refine ML products.
- Stay updated on emerging ML techniques in RecSys, behavioral modeling, and model optimization.
About the Candidate
The ideal candidate will hold an MSc or PhD in a STEM field and possess proven experience in building and deploying ML systems in a commercial setting. A strong background in AdTech or recommender systems is essential, along with hands-on experience with orchestration tools, data infrastructure, and cloud platforms (AWS, Databricks). Excellent collaboration and communication skills alongside a product-oriented mindset are critical for success in this dynamic startup environment.
Salary and Benefits
- Salary range: $300,000 – $350,000 base
- Meaningful Equity & Financial Upside
- Fully Remote (with hybrid options in Boston, SF Bay Area, Seattle, NYC)
How to Apply
To express your interest, please submit your CV via the Apply link on this page.
Desired Skills and Experience
- Machine Learning Engineering, AdTech, Personalization, Recommender Systems
- MLOps, CI/CD, Airflow
- Spark, Python, AWS