Senior Staff Machine Learning Engineer
Harnham — Alameda, US
- Published on
About the Role
Harnham is seeking a Senior Staff/Technical Lead Machine Learning Engineer who will play a critical role in leading a team. This position is at a fast-growing tech company specializing in behavioral modeling and personalization. The successful candidate will design, build, and deploy end-to-end machine learning models focused on ad optimization and recommendation systems.
Key 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 that leverage rich behavioral signals to drive user value and business ROI.
- Partner with product and R&D teams to ideate and execute high-impact, ML-first product strategies.
- Lead experimentation and model evaluation in a fast-paced, data-rich environment.
- Contribute to the development of scalable infrastructure using tools like Airflow, Spark, and CI/CD platforms.
- Work cross-functionally to bring zero-to-one ML products to market and continuously refine them post-launch.
- Stay updated on emerging ML techniques in RecSys, behavioral modeling, and model optimization.
About the Candidate
Requirements:
- MSc or PhD in a STEM field.
- Proven experience building and deploying machine learning systems in a commercial setting.
- Strong background in AdTech or recommender systems (RecSys) with a clear understanding of personalization, targeting, or user intent modeling.
- Hands-on experience with orchestration tools (Airflow, Bazel), data infrastructure (Spark, SQL, Scala, Python).
- DevOps knowledge, including CI/CD best practices and production model monitoring.
- Familiarity with cloud platforms (AWS, Databricks) and ML tooling (MLFlow, TensorFlow, Kubernetes).
- Strong collaboration and communication skills, with a product-oriented mindset.
- A proactive, action-oriented mentality suitable for a dynamic startup environment.
Salary and Benefits
- Base salary of $300,000 – $350,000
- Meaningful Equity & Financial Upside
- Fully Remote (with hybrid options in Boston, SF Bay Area, Seattle, NYC)
How to Apply
Please register your interest by submitting your CV via the Apply link on this page.