Ultimo Software Solutions Inc.

Ultimo Software Solutions Inc.

Data Scientist - Agentic AI Systems - IFS Loops

Palo Alto, California, United States · Contract

Sponsorship not specified$140k-$150kDetected 5 days ago
PythonSQLVector DatabasesMachine LearningPyTorchscikit-learnData ScienceLLMsRAGAgentic AILangGraphStatisticsA/B TestingResearchCommunicationCollaborationProblem Solving

About the role

  • IFS is a billion-dollar revenue company with 7000+ employees on all continents.
  • Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.
  • We help solve some of society's greatest challenges, fostering a better future through our agility, collaboration, and trust.

Responsibilities

  • 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
  • Collaborate with engineering, product, and design to translate insights into deployable features
  • By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging.
  • We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences.
  • 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.

Requirements

  • 4+ years of experience in data science, applied ML, or AI research
  • experience with libraries like scikit-learn, PyTorch, LangChain or any similar agentic framework
  • Comfort with ambiguity, fast iteration cycles, and self-directed research
  • Excellent communication and storytelling skills - you can explain complex models to others clearly

Nice to have

  • 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 with LLM Post Training - SFT, DPO, RLHF, GRPO
  • 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
  • Collaborative - You thrive in cross-functional teams and open discussion

Skills

  • Analyze structured and unstructured data from user-agent interactions, logs, and experiments
  • Rapidly prototype and test hypotheses to improve agent performance and reliability
  • Communicate findings clearly and concisely to both technical and non-technical audiences

Compensation

  • $140,000 to $150,000 annually + bonus

Benefits

  • Design and run applied research initiatives that inform the behavior and learning loops of AI agents
  • Flexible paid time off, including sick and holiday
  • Medical, dental, & vision insurance
  • Flexible spending accounts
  • Life insurance and disability benefits
  • Tuition assistance

Equal opportunity

  • VEVRAA Federal Contractor, Equal Opportunity Employer
  • 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.
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