Senior Staff Machine Learning Engineer
- Published on
About the Role
Harnham is seeking a Senior Staff/Technical Lead Machine Learning Engineer to play a pivotal role in their growing mission-driven tech company focused on behavioral modeling and personalization. You will:
- Design, build, and deploy end-to-end machine learning models.
- Develop ML pipelines and production systems to enhance user value and achieve business ROI.
- Collaborate with product and R&D teams to execute ML-first product strategies and lead experimentation efforts.
- Work cross-functionally to launch and refine zero-to-one ML products.
About the Candidate
Candidates should possess:
- An MSc or PhD in a STEM field.
- Proven experience in building and deploying machine learning systems commercially.
- A solid understanding of AdTech or recommender systems, with expertise in personalization and user intent modeling.
- Experience with orchestration tools and data infrastructure (e.g., Airflow, Spark, SQL).
- Familiarity with cloud platforms such as AWS and ML tooling like MLFlow and TensorFlow.
- Strong collaboration skills and a proactive, "roll up your sleeves" attitude suitable for startups.
About the Company
Harnham leverages one of the largest consented behavioral datasets in the US to develop private-by-design AI solutions for top global brands. The company fosters a culture of innovation and teamwork, aiming to combine behavioral insights with cutting-edge technology.
Company Culture and Benefits
Harnham offers a competitive compensation package including a base salary between $300,000 – $350,000 and significant equity. The opportunity provides fully remote work options, with hybrid paths available in select cities such as Boston and San Francisco.
How to Apply
Interested candidates are encouraged to register their interest by submitting their CV via the designated Apply link.