Staff Data Scientist | NLP

The role

This person will build models that turn unstructured text into product features and business insight. They will own problems end-to-end including framing, data, modeling, evaluation, and shipping.

What you will do

• Design and train NLP models for tasks like classification, entity extraction, retrieval, summarization, and semantic search
• Fine-tune and evaluate LLMs (open-source and API-based)
• Build RAG pipelines and agentic workflows where appropriate
• Build robust evaluation harnesses including offline metrics, human-in-the-loop review, and online A/B tests
• Partner with ML engineers to productionize models
• Turn ambiguous product questions into well-scoped ML problems
• Communicate tradeoffs clearly to non-technical stakeholders

Required qualifications

• 3+ years of applied ML experience with a meaningful portion in NLP
• Strong Python and the modern NLP stack: PyTorch or JAX, Hugging Face Transformers, spaCy, sentence-transformers
• Hands-on experience fine-tuning transformer models (LoRA/QLoRA, instruction tuning, preference optimization) and/or building production RAG systems
• Solid grounding in evaluation
• Comfortable with SQL, vector databases (pgvector, Pinecone, Weaviate, or similar), and one major cloud (AWS/GCP/Azure)
• Clear written and verbal communication

Nice to have

• Publications at ACL/EMNLP/NAACL/NeurIPS or strong open-source contributions
• Experience with multilingual NLP, speech, or multimodal models
• Background shipping LLM features in a regulated domain (healthcare, finance, legal)

Benefits

• Top Medical/Dental/Vision offerings
• FSA/HSA
• Tuition reimbursement
• Competitive salary
• 401(k) with company match
• Unlimited PTO
• Additional health and wellness benefits and perks

About the company

Machinify is a leading healthcare intelligence company with expertise across the payment continuum. It delivers value, transparency, and efficiency to health plan clients using an AI-powered platform.