Fractal

Fractal

Data Scientist_5

California · Full-time

Sponsorship not specified$150k-$170kDetected 4 days ago
PythonVector DatabasesAWSGCPAzureCloud PlatformsDockerKubernetesMachine LearningTensorFlowPyTorchData ScienceNLPLLMsRAGMLOpsResearchCommunicationCollaborationProblem SolvingMentoring

About the role

  • This role is central to driving the development of innovative generative AI experiences that empower users and transform enterprise decision-making.

Responsibilities

  • Design and develop LLM-powered applications such as agentic chatbots, smart search, contextual recommendation systems, and document summarizers.
  • Implement Retrieval-Augmented Generation (RAG) frameworks for enterprise-grade knowledge access.
  • Design robust benchmarking and evaluation pipelines for LLM outputs (e.g., factual accuracy, hallucination rates, usefulness).
  • Collaborate with AI Governance and MLOps teams to ensure scalable and auditable deployments.

Requirements

  • All applications must be made through posted job openings

Nice to have

  • Master's/PhD in Computer Science, AI, Data Science, or a related field.
  • Experience deploying GenAI solutions in a B2B enterprise or consulting environment.
  • Why Join Fractal Analytics?
  • The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets
  • experience and training
  • licensure and certifications
  • and other business and organizational needs.
  • At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.

Skills

  • Generative AI Expertise
  • Experience implementing agent-based architectures for autonomous task execution.
  • Solid grounding in NLP techniques including embeddings, vector databases, text classification, summarization, and QA systems.
  • Engineering & Deployment
  • Proficiency in Python and ML libraries like PyTorch, TensorFlow, scikit-learn.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Familiarity with MLOps practices and tools for model deployment and monitoring.
  • Business Acumen & Communication
  • Ability to understand user pain points and propose intuitive AI solutions.
  • Strong problem-solving and communication skills to work across technical and business stakeholders.
  • Proven track record of delivering scalable GenAI solutions in enterprise environments.

Compensation

  • The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
  • At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.
  • A reasonable estimate of the current range is: $150,000 to $170,000 Yearly.

Benefits

  • You will be eligible for benefits on the first day of employment with the Company.
  • The Company provides 11 paid holidays and 12 weeks of Parental Leave.
  • We also follow a "free time" PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation.
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This listing is sourced directly from Fractal's careers page and normalized into a canonical job model.