Founding Member of Technical Staff — RL

Relixir
Mountain View
Workplace: OnsiteFull timeUSD 190,000 - 225,000 annuallyFunction: Entrepreneurship & Venture BuildingExperience: 3+ yearsSkills: ["High agency","Research engineering","Experiment design","Problem analysis","Shipping production systems"]

Build real-world agent environments, benchmarks, and autonomous company blueprints, then use them to make Vetta the best-performing agent platform. Translate business workflows into reproducible RL/agent tasks, design rewards and evals that measure real outcomes, and run experiments to diagnose failures. Develop training data and optimization loops from agent trajectories, and publish credible benchmarks, technical reports, and demos.

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Relixir
Relixir
2 days ago

Founding Member of Technical Staff — RL

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Build real-world agent environments, benchmarks, and autonomous company blueprints, then use them to make Vetta the best-performing agent platform. Translate business workflows into reproducible RL/agent tasks, design rewards and evals that measure real outcomes, and run experiments to diagnose failures. Develop training data and optimization loops from agent trajectories, and publish credible benchmarks, technical reports, and demos.
Location: Mountain View
Workplace: Onsite
Employment Type: Full time
Job Function: Entrepreneurship & Venture Building
Seniority: Mid level

Key Responsibilities

  • •Turn complex business workflows into reproducible agent environments
  • •Design tasks, rewards, evals, and benchmarks that measure real outcomes
  • •Build production-ready autonomous company blueprints
  • •Run experiments, analyze failures, and improve agent performance
  • •Develop training data and optimization loops from agent trajectories and publish benchmarks, technical reports, and demos

Pay and Benefits

Salary: USD 190,000 - 225,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Strong Python and research-engineering ability
  • •Experience building agents, evals, or RL environments
  • •Deep understanding of tool use, long-horizon tasks, and LLM failure modes
  • •Ability to design rigorous experiments and ship production systems
  • •High agency and comfort working on ambiguous 0→1 problems
Experience:3+ years
Skills:High agencyResearch engineeringExperiment designProblem analysisShipping production systems
Tech Stack:PythonLLMsAI Agents

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Relixir
Develops AI-powered autonomous agents and orchestration tools that enable companies to automate complex workflows, integrate data sources, and build intelligent assistants for enterprise applications using large language models and custom connectors.
Industry: AI & Machine Learning
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