Machine learning engineer in adtech

Harnham; United States; Remote; USD 152,000 - 169,000; Full time

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

Описание:

This profitable French AdTech scale-up is transforming digital advertising through machine learning. By building AI-powered technology that determines which users are most likely to engage with an advert, they help leading mobile apps drive customer acquisition and re-engagement through highly targeted advertising. You’ll be joining a highly technical engineering team, working directly alongside the CTO to shape the future of machine learning across the business.

Задачи:

• define the technical direction of large-scale production machine learning systems while remaining hands-on throughout the full model lifecycle lead end-to-end machine learning initiatives across recommendation systems, audience targeting, bidding optimisation and customer lifecycle modelling partner closely with senior engineering and business stakeholders to translate commercial objectives into production-ready AI solutions

Требования:

• Extensive experience building and deploying production machine learning systems at scale Proven technical leadership, defining architecture and technical direction while remaining hands-on Strong experience developing recommendation systems, audience targeting models, LTV or churn models Experience building robust MLOps platforms including model monitoring, automated retraining and production deployment Excellent Python and modern machine learning framework experience (PyTorch, TensorFlow or similar) Strong software engineering and distributed systems knowledge Ability to communicate complex technical concepts to senior stakeholders Будет плюсом: AdTech or Demand Side Platform (DSP) experience highly desirable; PhD in a STEM discipline is advantageous

Условия:

• €135,000 base salary plus approximately €15,000 annual bonus (OTE €150,000) Longevity bonus every two years 4.5-day working week with Friday afternoons off Fully remote working or hybrid (2 days per week if based near an office) Two company meet-ups each year Work directly alongside the CTO Join a profitable, high-growth international AI business with significant technical ownership opportunities