Machinify

Staff Data Scientist | NLP

Machinify$180K — $230K *
US-AnywhereRemote in United States
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of applied ML experience, particularly in NLP
  • Proficient in Python and modern NLP frameworks like PyTorch or JAX
  • Hands-on experience in fine-tuning transformer models and building production RAG systems
  • Strong knowledge of evaluation methods: BLEU, ROUGE, BERTScore
  • Familiarity with SQL and vector databases like pgvector or Pinecone

Responsibilities

  • Design and train NLP models for various tasks such as classification and entity extraction
  • Fine-tune and evaluate LLMs and build RAG pipelines
  • Construct robust evaluation harnesses including metrics and A/B tests
  • Collaborate with ML engineers to productionize models focusing on performance
  • Transform vague product inquiries into well-defined ML problems

Benefits

  • Work from anywhere in the US
  • Comprehensive Medical/Dental/Vision coverage
  • Tuition reimbursement for continued education
  • Unlimited PTO for work-life balance
  • Flexibility within a trusting and empowering workplace
Full Job Description
We9re hiring a Data Scientist focused on natural language processing to build models that turn unstructured text into product features and business insight. You9ll 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 you9ll 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 we9re 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 you9ll 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.

About Machinify

Machinify is a software and technology services company that provides a platform for businesses to automate their workflows. The company's platform uses artificial intelligence and machine learning to help businesses streamline their operations and improve efficiency. Machinify's software can be used in a variety of industries, including finance, healthcare, and retail. The company was founded in 2017 and is headquartered in New York City.
Learn more about Machinify
Size
10 employees
Industry
Founded
2017

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