Hybrid Senior Machine Learning Engineer

Posted last month

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About the role

  • Senior Machine Learning Engineer developing advanced AI solutions for identity verification at a VC-backed platform. Leading innovation in privacy AI technology impacting millions of verifications daily.

Responsibilities

  • Develop and fine-tune LLMs for contract analysis, regulatory classification, and risk assessment
  • Implement Retrieval-Augmented Generation (RAG) using vector embeddings and hybrid DB-based querying
  • Build AI-driven contract analysis systems to detect dark patterns, classify clauses, and provide remediation suggestions

Requirements

  • 5-8 years of experience in Machine Learning, NLP, and LLM-based solutions
  • Strong expertise in fine-tuning and deploying LLMs (GPT-4, Llama, Mistral, or custom models)
  • Experienced with RAG-based architectures, including vector embeddings (FAISS, ChromaDB, Weaviate, Pinecone, or similar)

Benefits

  • Health insurance
  • 401(k)
  • Paid time off
  • Flexible work arrangements
  • Professional development opportunities

Job title

Senior Machine Learning Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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