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Data Scientist - Agentic AI Systems - The Loops
Data Scientist - Agentic AI Systems - The LoopsIFS • San Francisco, CA, United States
Data Scientist - Agentic AI Systems - The Loops

Data Scientist - Agentic AI Systems - The Loops

IFS • San Francisco, CA, United States
30+ days ago
Job type
  • Full-time
Job description

Job Description

We’re seeking a Data Scientist with a strong research mindset to help shape the future of agentic AI systems . This role blends deep analytical thinking with fast-paced experimentation and model development, where your insights will directly inform how AI agents reason, plan, and act in dynamic environments.

You’ll work on a cross-functional team exploring how AI agents learn from real-world data, adapt to user intent, and interact autonomously—or collaboratively—with users and systems. If you’re a self-starter who thrives on ambiguity, builds fast, and can bridge theory with practical outcomes, this role is for you.

Responsibilities

  • Design and run applied research initiatives that inform the behavior and learning loops of AI agents
  • Build and evaluate models for planning, memory, retrieval, reasoning, or tool use in agentic systems
  • Develop internal tools and pipelines to test agent behavior across different environments
  • Analyze structured and unstructured data from user-agent interactions, logs, and experiments
  • Rapidly prototype and test hypotheses to improve agent performance and reliability
  • Collaborate with engineering, product, and design to translate insights into deployable features
  • Communicate findings clearly and concisely to both technical and non-technical audiences

Qualifications : Qualifications

Minimum Qualifications

  • Masters or PhD in Computer Science, Applied Math, Statistics, or related quantitative field
  • 4+ years of experience in data science, applied ML, or AI research
  • Strong Python and SQL skills; experience with libraries like scikit-learn, PyTorch, LangChain or any similar agentic framework
  • Familiarity with LLMs, retrieval-augmented generation (RAG), Reinforcement Learning, Fine-Tuning
  • Comfort with ambiguity, fast iteration cycles, and self-directed research
  • Excellent communication and storytelling skills — you can explain complex models to others clearly

    • Preferred Qualifications

  • Experience working with agent frameworks (AutoGen, OpenAgents, LangGraph, etc.)
  • Background in decision-making models, memory systems, or multi-agent coordination
  • Exposure to vector databases, embeddings, and custom RAG pipelines
  • Experience building evaluation frameworks or simulators for agent performance
  • Experience with LLM Post Training – SFT, DPO, RLHF, GRPO

    • Who You Are

  • Curious – You explore the edges of what’s possible with AI agents
  • Action-biased – You ship prototypes quickly and iterate based on evidence
  • Scientific – You bring structure to messy problems and back claims with data
  • Independent – You operate autonomously and drive projects end-to-end
  • Collaborative – You thrive in cross-functional teams and open discussion

    • Additional Information

    What We’re Offering

  • Salary Range : $240,000-280,000 + bonus
  • Flexible paid time off, including sick and holiday
  • Medical, dental, & vision insurance
  • 401K with Company contribution
  • Flexible spending accounts
  • Life insurance and disability benefits
  • Tuition assistance
  • Community involvement and volunteering events

    • M / F / Disabled / Vet VEVRAA Federal Contractor. We are a Drug-Free Workplace. Interested candidates should apply at : www.ifs.com / about / careers-at-ifs

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. VEVRAA Federal Contractor, Equal Opportunity Employer

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    Data Scientist • San Francisco, CA, United States