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IFS

Cloud-based ERP, EAM, FSM, ESM solutions

Data Scientist - Agentic AI Systems, IFS Loops

Applied Machine LearningConfirmed live in the last 24 hours
Full-timePalo Alto, CA, USA

About the Job

Requirements

  • A Master's or PhD in Computer Science, Applied Mathematics, Statistics, or a related quantitative field is required.
  • At least 4 years of experience in data science, applied machine learning, or AI research is required.
  • Strong Python and SQL skills are required, along with experience using libraries such as scikit-learn, PyTorch, LangChain, or a similar agentic framework.
  • Familiarity with large language models, retrieval-augmented generation, reinforcement learning, and fine-tuning is required.
  • The candidate should be comfortable with ambiguity, fast iteration cycles, and self-directed research.

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 teams to translate insights into deployable features.
  • Communicate findings clearly and concisely to technical and non-technical audiences.

Desired Qualifications

  • Experience working with agent frameworks such as AutoGen, OpenAgents, or LangGraph.
  • A background in decision-making models, memory systems, or multi-agent coordination.
  • Exposure to vector databases, embeddings, and custom retrieval-augmented generation pipelines.
  • Experience building evaluation frameworks or simulators for agent performance.
  • Experience with large language model post-training methods, including supervised fine-tuning, direct preference optimization, reinforcement learning from human feedback, and group relative policy optimization.

About the Company

IFS

Cloud-based ERP, EAM, FSM, ESM solutions

IFS provides cloud-based enterprise software for large organizations, covering ERP, EAM, FSM, and ESM. Customers license subscriptions to access modules that handle operations, asset management, field service, and internal service workflows, with implementation and ongoing support. It stands out by offering a broad, integrated suite tailored to multiple industries and backed by a global services network. The goal is to help enterprises optimize operations, improve productivity, and advance sustainability with a scalable cloud platform.

Company size
5,001-10,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$3.3B
Headquarters
Linköpings kommun, Sweden
Founded
1983

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