Staff Machine Learning Engineer
New York, New York
$210,000-230,000 base salary + equity + benefits
Harnham is partnered with an AI fintech startup in the New York City area. They are looking for an experienced 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