Senior Staff/Technical Lead Machine Learning Engineer

HarnhamFremont, US
Published on

About the Role

Harnham is seeking a Senior Staff/Technical Lead Machine Learning Engineer to join a fast-growing, mission-driven tech company in behavioral modeling and personalization. This role involves leading a team to develop and scale ML-powered products, particularly in ad optimization and recommendation systems. The position offers an attractive compensation package and the opportunity to work fully remotely.

Responsibilities

  • Design, build, and deploy end-to-end machine learning models in ad optimization and personalization.
  • Develop ML pipelines and production systems leveraging behavioral signals for user value and ROI.
  • Collaborate with product and R&D teams to execute high-impact, ML-first product strategies.
  • Lead experimentation and model evaluation in a data-rich environment.
  • Contribute to scalable infrastructure development using tools like Airflow, Spark, and CI/CD platforms.
  • Work across teams to bring novel ML products to market while continuously refining them.
  • Stay updated on emerging ML techniques in RecSys, behavioral modeling, and optimization.

About the Candidate

Candidates should have:

  • An MSc or PhD in a STEM field.
  • Proven experience in building and deploying machine learning systems commercially.
  • A strong background in AdTech or recommender systems, understanding personalization and targeting.
  • Hands-on experience with orchestration tools (Airflow, Bazel) and data infrastructure tools (Spark, SQL, Scala, Python).
  • Knowledge of DevOps practices, including CI/CD and production model monitoring.
  • Familiarity with cloud platforms (AWS, Databricks) and ML tooling (MLFlow, TensorFlow, Kubernetes).
  • Excellent collaboration and communication skills with a product-oriented mindset.
  • A proactive approach—an ideal fit for a dynamic startup environment.

Salary and Benefits

  • Base salary ranging from $300,000 to $350,000.
  • Meaningful equity and financial upside.
  • Fully remote work options available, with hybrid options in Boston, SF Bay Area, Seattle, and NYC.

Company Culture and Benefits

Harnham values innovation and collaboration, offering its employees a dynamic work environment that promotes growth and creativity. Join a team of seasoned ML professionals from top companies to lead cutting-edge projects in AI solutions for global brands.