Research Engineer

Invisible Technologies
New York, San Francisco
Workplace: HybridFull timeFunction: Research & Scientific (R&D)Skills: ["Ownership","Collaboration","Turning ambiguity into opportunity"]

Build reinforcement learning evaluation capability by designing benchmarks, RL environments, and evaluation methodology that frontier labs and enterprise clients can make decisions from. Translate research questions into scoring frameworks, rubrics, and evaluation architectures, then write and ship production code and maintain the data pipelines that power evaluation runs. Analyze results to ensure reproducibility and collaborate across research, solutions, and ML engineering teams.

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FursaFursa
Invisible Technologies
Invisible Technologies
3 days ago

Research Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Build reinforcement learning evaluation capability by designing benchmarks, RL environments, and evaluation methodology that frontier labs and enterprise clients can make decisions from. Translate research questions into scoring frameworks, rubrics, and evaluation architectures, then write and ship production code and maintain the data pipelines that power evaluation runs. Analyze results to ensure reproducibility and collaborate across research, solutions, and ML engineering teams.
Location: New York, San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Design benchmarks and RL environments to measure real model capability for labs and enterprise clients.
  • •Originate evaluation methodology and translate it into scoring frameworks, rubrics, and evaluation architectures.
  • •Write and ship production code that implements evaluation designs.
  • •Build and maintain data pipelines that feed evaluation runs.
  • •Run analyses to establish whether results hold and make evaluations reproducible.

Pay and Benefits

Equity and Bonus:Equity
Perks:EquityAnnual Bonus

Key Requirements

  • •Production-quality code written daily.
  • •Fluency in Python and comfort across the modern ML stack.
  • •Experience building evaluation systems, RL environments, or training/inference infrastructure.
  • •Hands-on experience with modern agentic flows.
  • •Familiarity with reinforcement learning and how frontier models are evaluated.
Skills:OwnershipCollaborationTurning ambiguity into opportunity
Languages:English
Tech Stack:Python

Company Brief

Invisible Technologies
Invisible Technologies provides an enterprise AI platform that structures messy data, builds digital workflows, deploys agentic solutions, and integrates human expertise to operationalize AI for customers across industries. Founded in 2015, it has rapidly grown and serves large enterprise clients.
Industry: AI & Machine Learning
Company Size: Large (251 to 1,000 employees)
Revenue: USD 100M to 250M
Growth: Scaleup
Funding: Series A
Headquarters: New York, United States
Founded: 2015
WebsiteLinkedIn