Machinify
via Greenhouse
Staff Data Scientist | NLP
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 202d ago
The date the source published, not the day we noticed it (2026-02-24). Last seen at its source 2h ago.
Is it remote?
Remote - US
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States
The description agrees: it names United States.
What the ad says
…Work from anywhere in the US…
Pay
$180k–230k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
greenhouse employer's own board first seen 17d ago · last seen 2h ago
The listing
Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.
We're 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 — framing, data, modeling, evaluation, and shipping — and work closely with engineering and product to put your work in front of users.
What you'll 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 — offline metrics, human-in-the-loop review, and online A/B tests
- Partner with ML engineers to productionize models (latency, cost, monitoring, drift detection)
- Turn ambiguous product questions into well-scoped ML problems and communicate tradeoffs clearly to non-technical stakeholders
What we're looking for
- 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: knows the difference between BLEU/ROUGE/BERTScore/LLM-as-judge and when each is misleading
- Comfortable with SQL, vector databases (pgvector, Pinecone, Weaviate, or similar), and one major cloud (AWS/GCP/Azure)
- Clear written and verbal communication; can defend a modeling choice and also admit when a heuristic beats a model
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)
What We Offer
- Work from anywhere in the US! Machinify is digital-first.
- 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
- Flexible and trusting environment where you’ll feel empowered to do your best work
The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. We are hiring for different levels and the base salary can range from $180k-$230k+ based on your assessed level. Compensation also includes meaningful equity, healthcare, unlimited PTO, and more.