A leading coaching and AI company is seeking an experienced professional to build and ship ML systems, specifically focusing on LLM fine-tuning and prompt engineering. The role involves collaborating closely with engineers and product teams, measuring success through A/B tests, and making data-driven improvements. Candidates should have a strong background in Python and modern ML tools like PyTorch or TensorFlow, along with excellent communication skills. The position supports a hybrid work environment in New York.
Qualifications
4+ years of experience building and shipping ML systems in production.
Hands-on experience with LLM fine-tuning, prompt engineering, or RAG pipelines.
Solid understanding of deployment basics.
Responsibilities
Prototype, evaluate, and fine-tune LLM-powered features.
Own the production lifecycle, collaborating with a tight squad.
Contribute to technical design and measure success metrics.
Skills
ML system development
Python for AI development
ML tooling knowledge
Communication skills
Curiosity and action bias
Tools
PyTorch
TensorFlow
Jupyter
Job description
A leading coaching and AI company is seeking an experienced professional to build and ship ML systems, specifically focusing on LLM fine-tuning and prompt engineering. The role involves collaborating closely with engineers and product teams, measuring success through A/B tests, and making data-driven improvements. Candidates should have a strong background in Python and modern ML tools like PyTorch or TensorFlow, along with excellent communication skills. The position supports a hybrid work environment in New York.