Technical Lead Machine Learning Engineer
Harnham — San Francisco Bay Area, US
- Published on
About the Role
Harnham is seeking a Technical Lead Machine Learning Engineer to join their fast-growing, mission-driven tech company. You will lead a team to build and scale ML-powered products focusing on:
- Design, build, and deploy end-to-end machine learning models for ad optimization, personalization use cases, and recommendation systems.
- Develop ML pipelines leveraging behavioral signals for user value and business ROI.
- Collaborate with product and R&D on ML-first strategies and lead experimentation in a data-rich environment.
About the Candidate
The ideal candidate will have:
- An MSc or PhD in a STEM field.
- Proven experience in building and deploying machine learning systems commercially.
- Background in AdTech or recommender systems (RecSys) with knowledge in personalization and user intent modeling.
- Hands-on experience with orchestration tools like Airflow and Bazel, as well as data infrastructure including Spark, SQL, Scala, or Python.
- Strong knowledge of CI/CD best practices and production model monitoring.
Company Culture and Benefits
At Harnham, we offer incredible salary and benefits including:
- A competitive salary range of $300,000 to $350,000 base.
- Meaningful equity and financial upside.
- Fully remote work options with hybrid flexibility in top cities like Boston, Seattle, and NYC.
Technologies We Use
- Key technologies include Airflow, Spark, Python, AWS, MLFlow, and Kubernetes among others.
How to Apply
To express your interest, please submit your CV through the application link provided.