Job Description

Senior Machine Learning Research Engineer - LLMs

New York, New York

$180,000-$200,000 base salary + equity + benefits

Harnham is partnered with an AI fintech startup in the New York City area. They are looking for an experienced Research Engineer with a background in building production-ready LLMs. This person will sit on their engineering team and partner with stakeholders across the business.

If you are ready to work with one of the most innovative teams in the world on cutting-edge LLMs and RAG-based problems, this could be the job for you. You will need to work fast and break things, while also delivering some of the most novel concepts in new technologies.

THE ROLE

• You will build novel machine learning and LLM models to support new and existing platforms in finance
• You will report directly to the VP of Engineering and work closely on technical direction
• Own development of new PoCs and work MLE team to put them into production, using millions of pages of data per project
• You will implement and design code and build out to production using various machine learning and LLM techniques
• Potential to grow into a thought leader role for LLMs within the business

YOUR SKILLS AND EXPERIENCE

The successful Research Engineer will likely have the following skills and experience:

• Experience building production-ready machine learning models
• Experience working in a startup preferred
• Fluent in Python (TensorFlow, PyTorch) for production-grade work
• Commercial experience building novel AI platforms with large datasets preferred
• Cloud experience in AWS preferred
• History of working on models from concept (research) to production / end-to-end
• Familiarity with advanced machine learning approaches relating to large language models / LLMs
• Experience in settings wearing multiple hats
• History of partnering with non-technical stakeholders a plus
• BS or MS degree in Computer Science, Computer Engineering or similar

THE BENEFITS

A competitive base salary of $180,000-$200,000 + equity + benefits

HOW TO APPLY

Please register your interest by sending your resume to Virginia Brooks via the Apply link on this page.

KEYWORDS

Machine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | Research | Production | Startup | AI | Artificial Intelligence | Fintech | AWS | Python

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