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 is integral in building and scaling ML-powered products, focusing heavily on ad optimization and recommendation systems. You will:
- Design, build, and deploy end-to-end machine learning models for ad optimization and personalization.
- Develop ML pipelines that leverage rich behavioral signals to drive user value and business ROI.
- Collaborate with product and R&D to execute high-impact, ML-first product strategies.
Role Responsibilities
- Lead experimentation and model evaluation in a fast-paced, data-rich environment.
- Contribute to scalable infrastructure using tools including Airflow, Spark, and CI/CD.
- Work cross-functionally on zero-to-one ML products and refine them post-launch.
- Stay updated with emerging ML techniques in RecSys and behavioral modeling.
About the Candidate
The ideal candidate should have:
- MSc or PhD in a STEM field.
- Proven experience in building and deploying commercial machine learning systems.
- A strong background in AdTech or Recommender Systems with expertise in personalization.
- Hands-on experience with orchestration and data infrastructure tools such as Airflow, Spark, SQL, Scala, or Python.
- Knowledge of DevOps practices and production model monitoring.
- Familiarity with AWS and ML tools like MLFlow and TensorFlow.
- Excellent communication and collaboration skills with a product-oriented mindset.
- An action-oriented approach, suitable for a dynamic startup environment.
About the Company
Harnham is a fast-growing, mission-driven tech company focused on behavioral modeling and personalization solutions. They leverage one of the largest consented behavioral datasets in the US to deliver private-by-design AI solutions for top global brands and platforms. Their team consists of seasoned ML professionals from top companies and partners with major cloud providers to bring innovative AI products to market.
Salary and Benefits
- Competitive salary range of $300,000 – $350,000.
- Meaningful equity and financial upside.
- Fully remote work options with potential hybrid arrangements in locations like Boston, San Francisco, Seattle, and NYC.
How to Apply
To apply, please submit your CV via the Apply link on this page.