Role Overview
IFS is hiring a mid-level Data Scientist - Agentic AI Systems - Loops. This is a full-time role in Palo Alto, California. Part of IFS's Qa hiring, posted 5 days ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Resume Keywords to Include
Make sure these keywords appear in your resume to improve ATS scoring
Job description
We are 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.
Key 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
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
What We’re Offering
- Salary Range: $140,000 to $150,000 annually + 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
We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.
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
About IFS
Frequently Asked Questions
How do I apply for the Data Scientist - Agentic AI Systems - Loops position at IFS?
Use the Apply button above to submit your application directly to IFS. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Data Scientist - Agentic AI Systems - Loops position at IFS located?
This position is based in Palo Alto, California. IFS has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Data Scientist - Agentic AI Systems - Loops at IFS earn?
IFS has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Data Scientist - Agentic AI Systems - Loops role at IFS posted?
This role was posted on July 16, 2026 (5 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
Similar Jobs
Laboratory Engineer
Bosch-HomeComfort
Quality Manager – Fabrication & Assembly
Bosch-HomeComfort
Butter Room Supervisor
Select Milk Producers
QA Foreperson-2
Select Milk Producers
Quality Assurance Foreperson
Select Milk Producers
More Jobs at IFS
View all →Senior Lead Site Reliability Engineer Copperleaf
IFS
Manager, Aerospace and Defense Marketing
IFS
Director, Information Security - Copperleaf
IFS
Senior Lead Application Security Engineer
IFS
Manager, Aerospace and Defense Marketing
IFS
AI-powered job search
Get every job scored to your resume
Upload your resume and get jobs ranked, your resume tailored, and employee contacts found automatically.
Get started freeNo credit card to start