Lead Machine Learning Engineer

Harnham

New York (NY)

Hybrid

USD 220,000 - 260,000

Full time

14 days+

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Benefits offered by this job

Unlimited vacation

Monthly phone stipend

Comprehensive medical, dental, and vision insurance

401(k) with matching

Remote and Hybrid work option

Seamless meal allowance

Job summary

An innovative firm is seeking a Staff Machine Learning Engineer to drive AI solutions in marketing. This hands-on role involves developing and deploying advanced AI models, including LLMs and predictive analytics, to optimize ad performance and automate campaigns. You'll collaborate with top engineers and data scientists in a fast-paced environment where your contributions will have a meaningful impact. With a focus on real-world results, this position offers the chance to work on cutting-edge AI technology in a company that is transforming the marketing landscape. If you're passionate about AI and want to make a difference, this is the opportunity for you.

Qualifications

Proven experience in ML/Data Science with strong real-world expertise.
Experience shipping ML products at scale, preferably at a top AI-driven company.

Responsibilities

Develop and fine-tune AI models to optimize ad performance.
Collaborate to integrate AI-driven automation into marketing systems.

Skills

Machine Learning

Data Science

Python

TensorFlow

PyTorch

Predictive Analytics

LLM Fine-tuning

Diffusion Models

Education

No strict degree requirements

Tools

TensorFlow

PyTorch

Job description

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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

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

Placing the Top AI and Machine Learning Talent (NYC)

Lead Machine Learning Engineer

$220,000 - $260,000 + Bonus

Remote (NYC preferred, hybrid available)

About the Company

Imagine a future where AI doesn’t just assist in marketing—it drives it. That’s what our client is building.

Our client is leading the transformation of AI-powered marketing, helping global brands optimize ad spending, automate decision-making, and scale effortlessly. Backed by a world-class ML and Data Science team, we’re evolving beyond a traditional agency into a full-stack AI powerhouse, delivering cutting-edge solutions in LLMs, Diffusion Models, and predictive analytics.

If you want to work on AI that makes a measurable impact—think billions in ad spend optimized in real time—this is where you want to be.

The Role

We’re looking for a Staff Machine Learning Engineer to build, fine-tune, and deploy AI models at scale. You’ll be working with LLMs, Diffusion Models, and advanced predictive analytics to optimize ad performance, automate campaigns, and solve complex problems in marketing AI.

This is a hands-on role where you’ll collaborate with top engineers, data scientists, and product leaders to ship real AI solutions—fast.

What You’ll Do

Develop and fine-tune LLMs, Diffusion Models, and predictive ML models to optimize ad performance.
Design and deploy scalable AI solutions that automate campaign creation, optimization, and decision-making.
Collaborate cross-functionally to integrate AI-driven automation into marketing systems.
Work in a high-impact, fast-moving environment where your models go live and deliver real results.
Solve complex challenges at the intersection of AI, advertising, and automation.

What You Bring

Proven experience in ML/Data Science—no strict degree requirements, just strong real-world expertise.
Strong experience with Python, TensorFlow, PyTorch, and model deployment.
Background in LLM fine-tuning, diffusion models, and predictive analytics.
Experience shipping ML products at scale—bonus points if you’ve done it at a FAANG or top AI-driven company.
Preference for NYC-based candidates (4 days/week in office), but remote-friendly for the right fit.

The Perks