Lead Machine Learning Engineer

Get AI-powered advice on this job and more exclusive features. 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 Unlimited vacation Monthly phone stipend Comprehensive medical, dental, and vision insurance 401(k) with matching Remote and Hybrid work option (NYC preferred) Seamless meal allowance How to Apply Ready to build AI that transforms marketing? Send your resume to Cassie Wandell via the Apply link on this page. Seniority level Associate Employment type Full-time Job function Advertising, Engineering, and General Business Industries Advertising Services and Engineering Services #J-18808-Ljbffr