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Job · Mid-level

Member of Technical Staff, Enterprise AI

Other • Mid-level • Remote • Full-time European Union EU/EMEA

Full-time forward-deployed research role embedded within enterprise AI systems, surfacing real-world failure modes and running experiments to improve system performance.

Stack

Responsibilities

  • Embed within enterprise AI workflows as a research collaborator alongside domain experts and client teams
  • Surface, formalize, and prioritize system failure modes in real-world deployments
  • Design high-signal datasets and evaluation protocols targeting identified weaknesses
  • Run tight experimental loops to validate hypotheses and quantify improvements
  • Produce clear, decision-oriented analyses of system behavior and performance
  • Develop and benchmark agentic workflows, focusing on robustness and scalability
  • Build lightweight tooling to support evaluation, data curation, and rapid iteration
  • Contribute to internal and external research artifacts, including reports and benchmarks

Requirements

  • Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field
  • Strong judgment for research signal quality, including data selection and evaluation design
  • Experience designing datasets and evaluation frameworks for ML systems
  • Ability to translate ambiguous operational issues into structured research problems
  • Familiarity with RL environments and/or agentic system evaluation
  • Clear, concise communicator with a bias toward actionable insight
  • Proven ability to execute in fast iteration cycles and high-ambiguity settings
  • Collaborative mindset with experience working across research, product, and domain teams

Nice to have

  • Strong client-facing experience, particularly in technical or research-driven environments
  • Experience building internal research or evaluation tooling
  • Contributions to benchmarks, research publications, or open research initiatives
  • Exposure to enterprise AI deployments or forward-deployed research models

Soft skills

Clear, decision-oriented communicationCross-functional collaboration across research, product, and domain teamsComfort with high ambiguity and fast iteration

What we offer

  • Base salary of $140,000-$180,000 USD
  • Equity compensation
  • Performance-based bonuses, role dependent
  • Up to 100% health insurance premium reimbursement
  • Paid time off
  • 401(K) plan with company match

About the company

The company is an equal opportunity employer and uses AI tools to assist in candidate screening, complementing rather than replacing human decision-making.

Education: Mesterdiploma számítástechnikából, gépi tanulásból, mesterséges intelligenciából vagy kapcsolódó technikai területről

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