Harnham is partnered with an AI fintech startup in the New York City area. They are looking for an experienced ML Engineer with a background in building production-ready LLMs. This person will sit in their Engineering team and partner with stakeholders across the business.
THE ROLE
You will build novel machine learning and LLM models to support new and existing platforms in finance
You will report directly into the CEO and work closely on technical direction
Own development of new PoCs and work MLE team to put 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 thought leader role for LLMs within the business
YOUR SKILLS AND EXPERIENCE
The successful Staff Machine Learning Engineer will likely have the following skills and experience:
7-8 years of commercial experience preferred with a focus on 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 $210,000-230,000 + equity + benefits
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas 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