Senior Staff Machine Learning Engineer
Harnham — Santa Rosa, US
- Published on
About the Role
Harnham is seeking a Senior Staff Machine Learning Engineer to lead a team and contribute to building and scaling ML-powered products, focusing on ad optimization and recommendation systems. This role will be integral to the development of end-to-end machine learning models and collaboration with product and R&D teams on high-impact ML strategies.
Key Responsibilities
- Design, build, and deploy end-to-end machine learning models focused on ad optimization and personalization.
- Develop ML pipelines and production systems leveraging rich behavioral signals.
- Partner with cross-functional teams to initiate and execute ML-first product strategies.
- Lead experimentation and model evaluation in a data-rich environment.
- Stay updated on emerging ML techniques relevant to RecSys and behavioral modeling.
About the Candidate
The ideal candidate will have an MSc or PhD in a STEM field with proven experience in building and deploying machine learning systems in a commercial environment.
- A strong background in AdTech or recommender systems is essential.
- Hands-on experience with orchestration tools, data infrastructure, DevOps practices, and familiarity with cloud platforms is a plus.
- Strong collaboration and communication skills, with a proactive, product-oriented mindset are crucial.
About the Company
Harnham is a fast-growing tech company specializing in behavioral modeling and personalization. They utilize one of the largest consented behavioral datasets in the US to deliver AI solutions for top global brands.
Salary and Benefits
- Competitive base salary ranging from $300,000 to $350,000.
- Meaningful equity and financial upside.
- Fully Remote work options with hybrid possibilities in major cities like Boston and NYC.