Remote NLP Data Scientist — Healthcare AI & LLMs

Machinify; United States; A distancia; USD 180.000 - 230.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical/Dental/Vision

401(k) match

Unlimited PTO

Tuition reimbursement

Work from anywhere (US)

Descripción de la vacante

Machinify is hiring a Data Scientist focused on natural language processing to build models that turn unstructured text into product features and business insight. You’ll own problems end-to-end and work closely with engineering and product to deploy models for users.

The role emphasizes designing NLP solutions, evaluating them rigorously, and collaborating across teams to drive measurable impact in healthcare analytics.

Formación

• 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) and/or building production RAG systems.
• Solid grounding in evaluation: BLEU/ROUGE/BERTScore vs LLM-as-judge.

Responsabilidades

• Design and train NLP models for classification, extraction, retrieval, summarization, and semantic search.
• Fine-tune and evaluate LLMs (open-source and API-based); build RAG pipelines and agentic workflows.
• Build robust evaluation harnesses — offline metrics, human-in-the-loop review, and online A/B tests.
• Partner with ML engineers to productionize models with latency, cost, monitoring, drift detection.
• Turn ambiguous product questions into well-scoped ML problems and communicate tradeoffs clearly to non-technical stakeholders.

Conocimientos

NLP Expertise

Python

PyTorch/JAX

Hugging Face

Vector Databases

SQL

Clear Communication

Herramientas

Pinecone

Weaviate

pgvector

AWS

Descripción del empleo

Machinify is hiring a Data Scientist focused on natural language processing to build models that turn unstructured text into product features and business insight. You’ll own problems end-to-end and work closely with engineering and product to deploy models for users.

The role emphasizes designing NLP solutions, evaluating them rigorously, and collaborating across teams to drive measurable impact in healthcare analytics.