ApplyBlast uses AI to match you with the right jobs, tailor your resume and cover letter, and apply automatically so you can land your dream job faster.

Features

Auto Apply Resume Optimizer Cover Letter Optimizer Interview Prep

Company

Social Media

Need Help?

team@applyblast.com

RL Platform Engineer at Labelbox - ApplyBlast

RL Platform Engineer

Labelbox

2 months ago

3.6 on Glassdoor

San Francisco, California, United States

Hybrid

Full Time

Senior

0 applicants

View Job Listing

Apply to 100+ jobs

About this role

Labelbox is seeking an engineer to build and operate reinforcement learning environments, verifiers, fine‑tuning pipelines, and large‑scale evaluation and training infrastructure for frontier AI agents. The role blends platform engineering expertise with deep experience in post‑training agent development, requiring strong system design, Python proficiency, and a track record of shipping reliable production systems.

Responsibilities

Design and build RL environments, verifiers, and fine‑tuning pipelines
Develop and scale training and serving infrastructure for high‑throughput experiments
Create and maintain production‑grade systems, APIs, and tooling for agent evaluation

Skills

About Labelbox

labelbox.com

Headquarters

San Francisco, California, United States

Company Size

51-200 employees

Founded

2018

View Profile

Labelbox is a data labeling and data‑ops platform that helps AI teams "build, operate, and staff" scalable data factories for training machine learning models. It combines a web annotation suite (images, video, LiDAR, and text), workflow and quality controls, data management and metadata tools, plus APIs and integrations to fit into ML pipelines. Alongside the software, Labelbox provides managed labeling services and workforce solutions to scale annotation and maintain label quality. Enterprises use it to accelerate model development, improve label consistency and governance, and operationalize high‑volume labeled data.