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Harnham

Staff Machine Learning Engineer

Harnham, New York, New York, 10261


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