Machinify Logo

Machinify

Staff Data Scientist | NLP

Reposted 3 Months Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
The Staff Data Scientist will lead the development and deployment of ML and GenAI systems to detect billing errors and fraud in healthcare payments, collaborating with cross-functional teams.
The summary above was generated by AI

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.

Equal Employment Opportunity at Machinify
 
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/

Machinify Palo Alto, California, USA Office

Downtown Palo Alto is known for its lively style, trendy shops, plenty of bars, restaurants and great coffee stores. The office is easy to get to, and just a couple of minutes walk from the Caltrain station.

Similar Jobs

Senior level
eCommerce • Information Technology • Internet of Things • Mobile • On-Demand • Retail • Software
Provides senior advisory, pursuit, commercial, and delivery leadership for a Risk & Resilience consulting practice. The role shapes enterprise opportunities, oversees client engagements, governs pricing and scope, advises executives, develops offerings, and connects risk, resilience, cybersecurity, AI, cloud, governance, and compliance capabilities into actionable strategies.
Top Skills: Artificial IntelligenceCloudCybersecurity
Senior level
eCommerce • Information Technology • Internet of Things • Mobile • On-Demand • Retail • Software
Leads Risk & Resilience consulting pursuits and client engagements from opportunity development through delivery oversight. Advises senior enterprise executives on risk, resilience, cybersecurity, AI, cloud, governance, and compliance. Oversees solution shaping, proposals, pricing, SOWs, commercial governance, engagement quality, and delivery risks. Develops repeatable advisory offerings, methodologies, intellectual property, and practice capabilities while mentoring consultants and supporting sales enablement and practice growth.
Top Skills: Artificial IntelligenceCloud ComputingCybersecurity
Senior level
eCommerce • Information Technology • Internet of Things • Mobile • On-Demand • Retail • Software
Leads Risk & Resilience consulting pursuits and client engagements, advising executives on enterprise risk, cybersecurity, cloud, AI, governance, compliance, and operational readiness. Oversees solution shaping, proposals, SOWs, pricing, commercial governance, delivery quality, client relationships, and engagement risks. Develops advisory offerings, methodologies, intellectual property, and practice capabilities while mentoring consultants and supporting business growth.
Top Skills: Artificial IntelligenceCloud ComputingCybersecurity

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account