Staff Machine Learning Engineer

Staff Machine Learning EngineerNew York, New York$210,000-230,000 base salary + equity + benefitsHarnham 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 ROLEYou will build novel machine learning and LLM models to support new and existing platforms in financeYou will report directly into the CEO and work closely on technical directionOwn development of new PoCs and work MLE team to put into production, using millions of pages of data per projectYou will implement and design code and build out to production using various machine learning and LLM techniquesPotential to grow into thought leader role for LLMs within the businessYOUR SKILLS AND EXPERIENCEThe 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 modelsExperience working in a startup preferredFluent in Python (TensorFlow, PyTorch) for production-grade workCommercial experience building novel AI platforms with large datasets preferredCloud experience in AWS preferredHistory of working on models from concept (research) to production end-to-endFamiliarity with advanced machine learning approaches relating to large language models LLMsExperience in settings wearing multiple hatsHistory of partnering with non-technical stakeholders a plusBS or MS degree in Computer Science, Computer Engineering or similarTHE BENEFITSA competitive base salary of $210,000-230,000 + equity + benefitsHOW TO APPLYPlease register your interest by sending your résumé to Tim Jonas via the Apply link on this page.KEYWORDSMachine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | Research | Production | Startup | AI | Artificial Intelligence | Fintech | AWS | Python

Created: 2024-11-06