Technical Lead Machine Learning Engineer
- Published on
About the Role
Harnham is seeking a Technical Lead Machine Learning Engineer to help develop and scale machine learning-powered products. This role involves designing, building, and deploying end-to-end machine learning models, with a major focus on ad optimization and personalized recommendation systems. The candidate will be responsible for developing ML pipelines, executing high-impact product strategies in partnership with product and R&D teams, and leading experimentation in a data-rich environment.
Responsibilities
- Design, build, and deploy end-to-end machine learning models focused on ad optimization and personalization use cases.
- Develop ML pipelines and production systems to leverage behavioral signals for user value and ROI.
- Collaborate with product and R&D to execute ML-driven strategies.
- Lead experimentation and model evaluation.
- Contribute to the scalable infrastructure using tools like Airflow and Spark.
- Work cross-functionally to launch and refine ML products.
- Stay updated with emerging ML techniques in recommendation systems and behavioral modeling.
About the Candidate
The preferred candidate will possess an MSc or PhD in a STEM field and proven experience in deploying machine learning systems commercially, particularly in AdTech or recommender systems. Key requirements include:
- Strong background in personalization and targeting
- Experience with orchestration tools (e.g., Airflow, Bazel) and data infrastructure (e.g., Spark, SQL, Scala, Python)
- Knowledge of CI/CD best practices for production monitoring
- Familiarity with cloud platforms (like AWS and Databricks) and ML tools (such as MLFlow, TensorFlow, Kubernetes)
- Excellent collaboration and communication skills with a proactive approach.
About the Company
Harnham is a fast-growing tech company committed to behavioral modeling and personalization through AI solutions. By leveraging one of the largest consented behavioral datasets in the US, Harnham delivers private-by-design outcomes for global brands and platforms. The team comprises experienced ML professionals and collaborates with major cloud providers to innovate and bring novel AI products to market.
Salary and Benefits
The salary range for this position is $300,000 to $350,000, complemented by meaningful equity and a financial upside. Harnham offers a fully remote working environment, with hybrid options available in major cities such as Boston and the San Francisco Bay Area.