Senior Staff/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 is a remote position in a fast-growing, mission-driven tech company focused on behavioral modeling and personalization. The role involves:
- Designing, building, and deploying end-to-end machine learning models for ad optimization and recommendation systems.
- Developing ML pipelines and production systems utilizing rich behavioral signals for user value and business ROI.
- Collaborating with product and R&D teams to execute high-impact product strategies.
- Leading experimentation and model evaluation in a dynamic environment.
- Contributing to scalable infrastructure development using tools like Airflow, Spark, and CI/CD platforms.
About the Candidate
The ideal candidate will have:
- A Master’s or PhD in a STEM field.
- Proven experience in building and deploying machine learning systems commercially.
- A strong background in AdTech or recommender systems with an understanding of personalization and user intent.
- Hands-on experience with orchestration tools (Airflow, Bazel) and data infrastructure (Spark, SQL, Scala, Python).
- Knowledge of DevOps practices, CI/CD, and production model monitoring.
- Familiarity with cloud platforms (AWS, Databricks) and ML tools (MLFlow, TensorFlow, Kubernetes).
- Strong collaboration and communication skills with a product-oriented mindset.
- A proactive and hands-on approach suitable for a dynamic startup environment.
About the Company
Harnham is a leading company situated in the behavioral modeling and personalization sector, which utilizes one of the largest consented behavioral datasets in the US. They are dedicated to delivering private-by-design AI solutions to top global brands.
Company Culture and Benefits
Harnham offers a salary range of $300,000 - $350,000, meaningful equity, and financial upside. The position is fully remote but also has hybrid options available in Boston, the SF Bay Area, Seattle, and NYC. The team consists of seasoned ML professionals from top companies, partnered with major cloud providers in the AI market.
How to Apply
Interested candidates should submit their CV through the apply link provided.
Desired Skills and Experience
Key skills include Machine Learning Engineering, AdTech, Personalization, Recommender Systems, MLOps, CI/CD, Airflow, Spark, Python, and AWS.