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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

$210,000.00/yr - $250,000.00/yr

THE COMPANY

We are partnered with an innovative advertising firm that is redefining the AdTech and marketing landscape through AI-driven insights. Their advanced machine learning platform delivers real-time customer intelligence, enabling brands to maximize engagement and revenue. As they continue to scale, they’re seeking a Lead Machine Learning Engineer to drive cutting-edge ML initiatives and enhance their technology stack.

THE ROLE

As a Staff Machine Learning Engineer, you will play a critical role in shaping the company’s AI strategy, leading the development of scalable ML models, and optimizing real-time ad targeting. This role requires a strong technical leader who can take full ownership of ML projects, mentor junior engineers, and collaborate with cross-functional teams to enhance customer engagement through data-driven decision-making.

RESPONSIBILITIES

• Design, develop, and deploy machine learning models to optimize ad targeting, personalization, and revenue generation.
• Lead efforts to analyze large-scale advertising data and extract actionable insights.
• Own the end-to-end ML pipeline, from research and prototyping to deployment and maintenance.
• Drive the long-term machine learning roadmap, ensuring scalability and efficiency.
• Collaborate with engineering, product, marketing, and advertising teams to integrate AI solutions into the platform.
• Mentor junior engineers and act as a technical thought leader within the organization.
• Work closely with stakeholders to communicate AI-driven insights and strategies effectively.

SKILLS AND EXPERIENCE

• Master’s or PhD in Computer Science, Statistics, Mathematics, or a related STEM field.
• 5-8 years of hands-on experience in AdTech, MarTech, or a closely related field (preferred).
• Proven ability to develop, deploy, and scale ML models in production environments.
• Experience building ML models that directly impact consumer engagement and revenue.
• Expertise in Python, TensorFlow, PyTorch, Keras, and related ML frameworks.
• Strong background in consumer data modeling, recommendation systems, and personalization algorithms.
• Ability to work cross-functionally, bridging technical and non-technical teams.
• A creative problem solver who thrives in fast-paced, data-rich environments.

WHY JOIN?

• Competitive base salary $210,000 – $250,000 + performance-based bonus
• Opportunity to lead high-impact ML projects in a rapidly growing AI-driven AdTech company
• Exposure to cutting-edge AI, real-time bidding, and personalization technologies
• Collaborative, forward-thinking environment with a high level of ownership

HOW TO APPLY

To express interest, submit your CV to Grace McCarthy via the "Apply" link below.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering, Information Technology, and Research

Industries

Engineering Services, Advertising Services, and Technology, Information and Media