Director of Machine Learning - Harnham : Job Details

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$220,000.00/yr - $260,000.00/yr

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Building AI/ML & Data/Software Engineering Teams Across The US

Director of Machine Learning Engineering

AdTech | Remote – US Based | $220,000 – $260,000 + Bonus + Equity

Are you a hands-on leader who thrives at the intersection of machine learning systems, real-time infrastructure, and business impact?

We're working with one of the fastest-growing AI-led AdTech platforms in the industry. Recently recognized for award-winning innovation in programmatic advertising, this company is redefining how brands apply custom AI to optimize media buying across major DSPs, Meta, and YouTube.

They're now seeking a Director of Machine Learning Engineering to lead their end-to-end ML systems – from architecture to deployment – while mentoring a team of senior MLEs and collaborating closely with engineering and product.

If you're passionate about building robust, scalable ML pipelines and shaping the future of real-time decisioning, this role is for you.

THE ROLE

As Director of Machine Learning Engineering, you'll:

• Own the architecture, deployment, and performance of custom ML systems used for large-scale ad bidding and decisioning.
• Lead the design and optimization of low-latency pipelines built with Databricks, PySpark, Kubernetes, and Rust.
• Oversee LLM and neural network-based models, ensuring they are production-ready and aligned with business strategy.
• Collaborate with the Engineering Architect to build resilient, scalable ML infrastructure.
• Mentor and manage a growing team of 3+ MLEs, fostering high standards in ML software engineering.
• Guide adoption of emerging technologies like LoRA, quantization, vector stores, and Rust microservices for model serving.
• Partner cross-functionally to translate business objectives into impactful AI solutions.

SKILLS & EXPERIENCE

To be successful, you will need:

• 8+ years of experience in machine learning engineering, with 3+ years in leadership roles.
• Deep expertise in building real-time ML systems with Kubernetes, Rust, PySpark, Databricks, and deep learning frameworks like PyTorch or TensorFlow.
• A proven track record of deploying LLMs and neural networks at scale.
• Mastery of MLOps tools including MLflow, Prometheus, Grafana, Airflow, etc.
• Strong cloud and data engineering experience (especially AWS and Databricks).
• A hands-on mindset with the ability to influence technical architecture and direction.
• Exceptional collaboration and communication skills across engineering and executive stakeholders.
• Experience in AdTech or performance marketing is a strong advantage.

BENEFITS

• Highly competitive base + performance bonuses + equity
• Unlimited PTO, 11 company holidays, and year-end closure
• Fully remote role within the US
• Opportunity to shape a best-in-class AI platform used by global brands
• Work in a transparent, high-ownership culture that values innovation and technical excellence

Interested in leading at the cutting edge of ML infrastructure in AdTech?

Apply now to connect with a consultant at Harnham.

Seniority level

• Seniority levelDirector

Employment type

• Employment typePart-time

Job function

• Job functionAdvertising
• IndustriesSoftware Development

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