> Markdown version of [/jobs/ext/2679385-lead-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/2679385-lead-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Lead Machine Learning Engineer

- **Company:** Harnham Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $220,000.0 - $260,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Pytorch, Large Language Models, Machine Learning Operations
- **Published:** August 31, 2026
- **Apply:** https://www.careerboard.com/us/en/find-jobs-in-United-States/-38085DAD104AFDB90E/

## About the Role

* 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.

## Description

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.


## Related Videos

- [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs)
- [DevOps for Machine Learning](https://www.wearedevelopers.com/videos/179-devops-for-machine-learning)
- [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning)
- [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding)
- [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops)
- [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models)

## Related Articles

- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)
- [How machine learning can help us tell fact from fiction](https://www.wearedevelopers.com/magazine/509-how-machine-learning-can-help-us-tell-fact-from-fiction)