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Research Engineer (Reinforcement Learning)

Build environments and verifiers for training voice and text agents

Build the environments and verifiers our models train against. Own the synthetic data pipeline from generation through quality gates. Run training experiments end to end and explain what moved the model. Ship models into production and keep improving them on real usage.

Why This Role?

Collaboration with a small, senior team that deeply values craft and creativity

Key Responsibilities

  • Build environments and verifiers for model training
  • Own the synthetic data pipeline from generation to quality gates
  • Run end-to-end training experiments and explain model improvements
  • Build evaluations that releases must clear
  • Choose and adapt open-weight base models for tasks
  • Ship trained models into production and improve them on real usage

Requirements

  • Strong Python engineering skills
  • Experience carrying a model from raw data to production
  • Comfortable working with GPUs and understanding their limits
  • Ability to treat data as product with focus on coverage, diversity, and leakage
  • Skill in designing rewards to prevent model exploitation
  • Comfortable collaborating in a remote environment

Required Skills

pythonmachine-learningreinforcement-learningdata-pipelinemodel-trainingreinforcement learningmodel trainingsynthetic dataGPU computingevaluation design
View Original Description from Ashby Job Boards

Original description from Ashby Job Boards

ABOUT LIVEKIT LiveKit is building the infrastructure layer for the voice-driven era of computing. Our platform gives developers everything they need to build, test, deploy, scale, and observe agents in production. Founded in 2021, LiveKit powers voice AI applications for OpenAI, xAI, Salesforce, Coursera, Spotify, and thousands of others, collectively facilitating billions of calls each year. ABOUT THIS ROLE We are looking for an exceptional engineer to build post-training at LiveKit. Our agents run over voice and increasingly over text channels like SMS and chat, and the interesting problems show up over long horizons: staying useful across many sessions, working with context that accumulates over time, and using tools reliably in the middle of a live conversation. WHAT YOU'LL DO - Build the environments and verifiers our models train against - Own the synthetic data pipeline, from generation through the quality gates - Run training experiments end to end, and explain what moved the model - Build the evaluations a release has to clear - Choose and adapt open-weight base models for our tasks - Make trained behavior hold up for voice and text agents alike - Ship models into production and keep improving them on real usage WHO YOU ARE - A strong Python engineer - Have carried a model from raw data through to production - Treat data as the product: coverage, diversity, leakage - Assume a model will exploit a weak reward, and design against it - Comfortable with GPUs and honest about their limits - Know when to train, and when not to - Comfortable working collaboratively in a remote environment NICE TO HAVE - Experience with post-training: fine-tuning, reward design, or reinforcement learning such as GRPO - RL and fine-tuning frameworks such as TRL, verl, or OpenRLHF, or a training loop you wrote yourself - Fast rollouts with vLLM or SGLang, multi-GPU training with FSDP - Training tool-using or multi-turn agents - Execution sandboxes, verifiers, eval harnesses, or tooling other engineers depend on - Open-weight families such as Qwen or Llama, LoRA and similar OUR COMMITMENT TO YOU - The opportunity to shape the brand of a fast-growing developer platform - Collaboration with a small, senior team that deeply values craft and creativity - Competitive salary and equity package - Health, dental, and vision benefits - Flexible vacation policy LiveKit is an equal opportunity employer and does not discriminate on the basis of any characteristic protected by applicable law. If you require a reasonable accommodation during the application or interview process, please contact recruiting@livekit.io.

Salary Context

Similar Engineering roles on LokerDollar pay around $165k/yr (range $1.8k–999.999k/yr, n=626 active listings).

Hiring at LiveKit

LiveKit has 12 other active roles on LokerDollar and has been hiring here since May 10, 2026 — across Engineering, Marketing.

View all LiveKit openings →

Openness not stated by employer — check the listing

Company
LiveKit
Salary
See remote (USD) vs local pay →
Job Type
full time
Location
Remote · North America
Category
Seniority
senior
PostedNewNew & verified
Aug 18, 2026

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Frequently asked questions

Is Research Engineer (Reinforcement Learning) at LiveKit a remote job?
This role is based in Remote. See the listing for remote/onsite details.
What is the salary for Research Engineer (Reinforcement Learning) at LiveKit?
The listed pay range for this role is $135k–300k/yr.
What type of employment is Research Engineer (Reinforcement Learning) at LiveKit?
This is a full time position.
How do I apply?
Click the "Apply" button on this page to go to the official application at LiveKit.

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