Lead Machine Learning Engineer

<p>Get AI-powered advice on this job and more exclusive features.</p><p>This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.</p><h3>Base pay range</h3><p>$220,000.00/yr - $260,000.00/yr</p><h3>Placing the Top AI and Machine Learning Talent (NYC)</h3><p><strong>Lead Machine Learning Engineer</strong></p><p>$220,000 - $260,000 + Bonus</p><p>Remote (NYC preferred, hybrid available)</p><p><strong>About the Company</strong></p><p>Imagine a future where AI doesn’t just assist in marketing—it drives it. That’s what our client is building.</p><p>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.</p><p>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.</p><p><strong>The Role</strong></p><p>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.</p><p>This is a hands-on role where you’ll collaborate with top engineers, data scientists, and product leaders to ship real AI solutions—fast.</p><p><strong>What You’ll Do</strong></p><ul><li>Develop and fine-tune LLMs, Diffusion Models, and predictive ML models to optimize ad performance.</li><li>Design and deploy scalable AI solutions that automate campaign creation, optimization, and decision-making.</li><li>Collaborate cross-functionally to integrate AI-driven automation into marketing systems.</li><li>Work in a high-impact, fast-moving environment where your models go live and deliver real results.</li><li>Solve complex challenges at the intersection of AI, advertising, and automation.</li></ul><p><strong>What You Bring</strong></p><ul><li>Proven experience in ML/Data Science—no strict degree requirements, just strong real-world expertise.</li><li>Strong experience with Python, TensorFlow, PyTorch, and model deployment.</li><li>Background in LLM fine-tuning, diffusion models, and predictive analytics.</li><li>Experience shipping ML products at scale—bonus points if you’ve done it at a FAANG or top AI-driven company.</li><li>Preference for NYC-based candidates (4 days/week in office), but remote-friendly for the right fit.</li></ul><p><strong>The Perks</strong></p><ul><li>Unlimited vacation</li><li>Monthly phone stipend</li><li>Comprehensive medical, dental, and vision insurance</li><li>401(k) with matching</li><li>Remote and Hybrid work option (NYC preferred)</li><li>Seamless meal allowance</li></ul><p><strong>How to Apply</strong></p><p>Ready to build AI that transforms marketing? Send your resume to Cassie Wandell via the Apply link on this page.</p><h3>Seniority level</h3><p>Associate</p><h3>Employment type</h3><p>Full-time</p><h3>Job function</h3><p>Advertising, Engineering, and General Business</p><h3>Industries</h3><p>Advertising Services and Engineering Services</p><br />#J-18808-Ljbffr