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Open nowPosted 17 days ago

Member of Technical Staff, Enterprise AI, Remote- Full-time

xperteez231 open roles

Where
United States
Work mode
Remote
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Your applicationOpen nowMember of Technical Staff, Enterprise AI, Remote- Full-timexperteez · United States

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Share of postings closed within
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  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 17 days ago

The posting

Job Title: Member of Technical Staff, Enterprise AI

Job Type: Full-time

Location: Remote

Required Skills:

  • Research Signal Judgment
  • ML-Oriented Data Design
  • Ops-to-Research Translation
  • Enterprise AI

The Role: As a Member of Technical Staff, you will function as a forward-deployed research partner embedded directly within enterprise AI systems. You will work on live workflows, uncover real-world failure modes, and drive rapid experimental cycles to improve system performance.

What You’ll Do:

  • Embed within enterprise AI workflows as a research collaborator, working alongside domain experts and client teams.
  • Surface, formalize, and prioritize system failure modes in real-world deployments.
  • Design high-signal datasets and evaluation protocols to target 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.

Who You Are:

  • 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.

Preferred:

  • 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.
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