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Staff Data Scientist - Product Analytics

Staff Data Scientist - Product Analytics

IRONCLAD COMPANYSeattle, WA, United States
1 day ago
Job type
  • Full-time
Job description

Join to apply for the Staff Software Engineer - Applied AI role at Ironclad

Business runs on contracts. Every dollar earned, relationship formed, and advantage gained comes down to the contract that makes it real. But getting a contract done is more complicated than it should be. Ironclad is the leading AI contracting platform that transforms agreements into assets. Contracts move faster, insights surface instantly, and agents push work forward, all with you in control. Whether youre buying or selling, Ironclad unifies the entire process on one intelligent platform, providing leaders with the visibility they need to stay one step ahead.

Were consistently recognized as a leader in the industry : a Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work six years running, and one of Fast Companys Most Innovative Workplaces.

Were backed by leading investors including Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton.

Hybrid role. Office attendance required at least twice a week on Tuesdays and Thursdays for collaboration and connection.

AI Engineering @ Ironclad

Ironclad is accelerating its AI initiatives to transform how contracts are built, managed & executed across an organization. Were looking for an AI / ML Engineer to help shape the future of legal AI. In this role, youll work with cutting?edge technologies such as Context Engineering, LLM Tuning / Post?Training, Evaluation Frameworks to develop state?of?the?art models and intelligent systems that power product features used by leading legal teams.

Youll partner closely with product managers and designers to translate user needs into AI?powered product capabilities. Youll also lead efforts in model evaluation, iteration, and deploymentensuring our systems are robust, explainable, and continuously improving. As part of our end?to?end ownership model, youll contribute to the MLOps stack to ensure our models are scalable, reliable, and performant in production.

What youll be doing

  • Build and tune models and AI capabilities that ingest legal documents, extract key information, and deliver actionable insights to customers
  • Implement backend services that power document understanding, classification, and natural language search
  • Design and maintain robust systems for context management, model training / tuning, orchestration, evaluation & inference, with a focus on scalability, reliability, and observability
  • Develop and scale retrieval?augmented generation (RAG) systems and agent?based orchestration frameworks for complex legal workflows
  • Build foundational AI / ML infrastructure, including tools for experimentation, model versioning, and online / offline performance monitoring
  • Shape user?facing AI experiences and deliver value through APIs and intelligent features

Required skills

  • BS or advanced degree in Computer Science, Engineering, or a related field
  • Experience working with large language models (e.g., GPT, Claude) or building RAG systems
  • Experience with embedding models and vector databases
  • Experience in training, evaluating, and serving AI / ML models
  • 7+ years of hands?on experience with Python, backend service development, and RESTful APIs
  • Experience in NLP techniques such as text classification, entity extraction, document understanding, or question answering
  • Proficiency with AI frameworks and APIs (e.g., PyTorch, TensorFlow, HuggingFace, OpenAI, LangChain)
  • Experience with cloud platforms (e.g., GCP, AWS, Azure)
  • Solid understanding of Git or other version control systems
  • Strong engineering fundamentals and attention to code quality, testing, and maintainability
  • Excellent communication and collaboration skills
  • Passion for building AI products that solve real?world customer problems

    • Nice to have

  • Familiarity with Vertex AI or other managed ML platforms
  • Experience working with PDF and DOCX parsing for document ingestion
  • Comfort with Docker and containerized development
  • Familiarity with CI / CD systems (e.g., GitHub Actions, CircleCI)
  • Monitoring and observability with tools like Datadog or equivalent
  • Experience with data processing and analysis using tools like SQL, Pandas, NumPy, or PySpark

    • Benefits

  • Health, dental, and vision insurance
  • 401k
  • Wellness reimbursement
  • Take what you need vacation policy
  • Generous parental leave for both primary and secondary caregivers

    • Base salary range

  • Senior : $180,000 $200,000
  • Staff : $210,000 $235,000

    • Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

    Compensation Range : $210K $235K

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    Staff Data Scientist • Seattle, WA, United States