Senior ML Engineer - AdTech Platform (Remote, 4.5-Day Week)

Harnham

United States

Remote

USD 152,000 - 169,000

Full time

5 days ago
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Benefits offered by this job

Fully remote
Hybrid option

Job summary

Harnham is seeking a senior ML leader to shape the technical direction of large-scale production ML systems. You will join a highly technical engineering team and work directly with the CTO to influence AI across the business.

You will drive end-to-end ML initiatives—across recommendation systems, audience targeting, LTV/churn models, and MLOps platforms—while maintaining hands-on involvement in architecture and deployment.

Qualifications

  • Extensive experience building and deploying production ML systems at scale.
  • Strong technical leadership defining architecture and direction while remaining hands-on.
  • Experience with recommendation systems, audience targeting models, LTV/churn models.
  • Proficient in Python and modern ML frameworks (PyTorch, TensorFlow).
  • Solid software engineering and distributed systems knowledge.
  • Ability to communicate complex technical concepts to senior stakeholders.

Responsibilities

  • Define the technical direction of large-scale production ML systems and lead end-to-end initiatives across recommendation, targeting, bidding optimisation, and lifecycle modelling.
  • Collaborate with senior engineering and business stakeholders to translate commercial objectives into production-ready AI solutions.

Skills

Machine Learning
Python
Leadership
Distributed Systems
Communication

Education

PhD in STEM
MS in CS/ML

Tools

PyTorch
TensorFlow
ML Ops

Job description

Harnham is seeking a senior ML leader to shape the technical direction of large-scale production ML systems. You will join a highly technical engineering team and work directly with the CTO to influence AI across the business.

You will drive end-to-end ML initiatives—across recommendation systems, audience targeting, LTV/churn models, and MLOps platforms—while maintaining hands-on involvement in architecture and deployment.

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