# Machine Learning Research Engineer - Robotics

**Company**: Scale
**Location**: San Francisco, CA
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Salary**: $248,800-$311,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/scaleai/jobs/4600908005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_2da35265-f56

## Description

We're seeking a Machine Learning Research Engineer to join our Robotics business unit. As a key contributor, you'll conduct applied research in Robotics and develop ML pipelines for training and fine-tuning on data collected by Scale. In this role, you'll advance Robotic research, shape Scale's robotics offerings, and expand the frontier of Robotics data and model evaluation.

Key responsibilities include: Collaborating closely with Robotics customers to drive the industry forward in using VLA data Developing ML pipelines to train/fine-tune models using Scale's data Conducting research on robotics data collection, cross-embodiment training, and policy fine-tuning Developing novel methods for evaluating VLA models, including new robotics industry benchmarks Partnering with cross-functional stakeholders and Scale's customers to improve data collection Collaborating with product teams to bring ML outcomes to Scale's platform

You'll have: Practical experience building training VLA models and/or building robotics data 3+ years of relevant industry experience in areas relating to: robotics, computer vision, embodied AI, sim-to-real, imitation learning, reinforcement learning, and vision language actions models PhD or equivalent experience in Machine Learning or Robotics A track record of published research in robotics Experience conducting data collection and performing evaluations Strong written and verbal communication skills and the ability to work with cross-functional teams and customers Intellectual curiosity, empathy, and ability to operate with a high degree of autonomy

Nice to haves: Experience working with robotics hardware platforms (robotic arms, perception systems, etc.) Experience deploying machine learning models on robotic systems in the field Experience with teleoperated or human-driven data for robotics (ALOHA, UMI, hand tracking, etc.)

## Skills

### Required
- Machine Learning
- Robotics
- Computer Vision
- Embodied AI
- Sim-to-Real
- Imitation Learning
- Reinforcement Learning
- Vision Language Actions Models

### Nice to have
- Robotics Hardware Platforms
- Deploying Machine Learning Models
- Teleoperated or Human-Driven Data

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/scaleai/jobs/4600908005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)