Technical Lead Machine Learning Engineer
- Published on
About the Role
Harnham is seeking a Technical Lead Machine Learning Engineer to join their fast-growing, mission-driven tech company focused on behavioral modeling and personalization. This role will involve leading a team and building ML-powered products with an emphasis on ad optimization and recommendation systems.
Responsibilities include:
- Designing, building, and deploying end-to-end machine learning models.
- Developing ML pipelines leveraging rich behavioral signals.
- Collaborating with Product and R&D teams.
- Participating in model evaluation and experimentation.
- Contributing to scalable infrastructure development using tools like Airflow, Spark, and CI/CD platforms.
- Working cross-functionally to launch and refine ML products post-launch.
About the Candidate
Expectations
Ideal candidates must possess a MSc or PhD in a STEM field, with proven experience in building and deploying machine learning systems in a commercial setting. A robust background in AdTech or recommender systems (RecSys) is crucial. Candidates should demonstrate proficiency with orchestration tools (Airflow, Bazel), and data infrastructure (Spark, SQL, Scala, or Python).
Skills of importance:
- Strong DevOps knowledge, including CI/CD best practices.
- Familiarity with cloud platforms (AWS, Databricks) and ML tooling (MLFlow, TensorFlow, Kubernetes).
- Excellent collaboration, communication skills, and a proactive product-oriented mindset suitable for a high-paced startup environment.
About the Company
Harnham is a tech company utilizing large consented behavioral datasets to provide privacy-focused AI solutions. They partner with major cloud providers and consist of a team of seasoned ML professionals from leading companies.
Company Culture and Benefits
- Competitive salary of $300,000 – $350,000 with meaningful equity and financial upside.
- Fully remote work options available, including hybrid options in major cities like Boston, SF Bay Area, Seattle, and NYC.
How to Apply
Interested candidates should submit their CV via the Apply link on this page.
Desired Skills and Experience
- Machine Learning Engineering
- AdTech, Personalization, Recommender Systems
- MLOps, CI/CD
- Tools: Airflow, Spark, Python, AWS