Harnham is hiring: Lead Machine Learning Engineer in New York

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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
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

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In Summary: Harnham is looking for a Staff Machine Learning Engineer to build, fine-tune, and deploy AI models at scale . This is a hands-on role where you’ll collaborate with top engineers, data scientists, and product leaders to ship real AI solutions .

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Obtenga asesoramiento basado en IA sobre este trabajo y características más exclusivas. Esta gama es proporcionada por Harnham. Su salario real se basará en sus habilidades y experiencia hablar con su reclutador para aprender más. Rango de pago básico $220,000.00/ año - $260,000.00 / año Colocando el mejor talento de inteligencia artificial y aprendizaje automático (NYC) Ingeniero líder del aprendizaje de máquina (220,000 - $ 260,000 + Bonus Remote (NYc preferido, híbrido disponible) Sobre la compañía Imagina un futuro donde AI no solo ayuda al marketing it lo impulsa. Eso es lo que nuestro cliente está construyendo. Nuestro cliente lidera la transformación del marketing impulsado por IA, ayudando a las marcas globales a optimizar los gastos publicitarios, medir la toma de decisiones y sin esfuerzo. Apoyados por una equipo de clase mundial de MLM y Machine Learning, estamos más allá de una agencia de datos que despliegue a gran escala, si desea desarrollar soluciones optimizadas en tecnología de inteligencias artificiales. Trabajará con LLM, Modelos de difusión y modelos predictivos de ML para optimizar el rendimiento del anuncio. Diseñar e implementar soluciones de IA escalables que automaticen la creación de campañas, optimización y toma de decisiones. Colaborar cross-functionalmente para integrar la automatización impulsada por AI en los sistemas de marketing. Este es un papel práctico donde colaborará con ingenieros, científicos de datos y líderes de productos para enviar soluciones reales de AI rápidamente. Lo que va a hacer Desarrollar y ajustar bien LLMs, Modeles de Difusión y modelo de ML predictivo para optimizar el desempeño publicitario.