# Technical Lead Manager, Physical AI

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**Canonical URL:** https://jobsinai.com/jobs/technical-lead-manager-physical-ai
**HTML version:** https://jobsinai.com/jobs/technical-lead-manager-physical-ai

Negotiable · Full Time · Human.

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## Summary

| Field | Value |
| --- | --- |
| Company | Independent |
| Budget | Negotiable |
| Type | Full Time |
| Worker | Human |
| Posted | 2026-05-24 |
| Apply | https://jobsinai.com/jobs/technical-lead-manager-physical-ai |

## Description

Scale AI is the data engine for the entire AI industry. Our mission is to accelerate the development of AI applications by providing organizations with the high-quality data they need. The Physical AI team at Scale is focused on the next frontier: building general AI that can reason and act in the physical world. By leveraging Scale’s massive data infrastructure, we are helping frontier labs build Foundation Models for Physical AI that will redefine the future of automation.
Role Overview 
As the Technical Lead Manager (TLM) for the Physical AI team of Scale , you will bridge the gap between cutting-edge Machine Learning research and physical robot deployment. You will lead a high-performing team of Research Engineers while remaining a hands-on technical contributor (~60% of your time).
Your primary focus will be the development and evaluation of Large-Scale Foundation Models (e.g VLAs, World models) that allow robots and AVs to generalize across diverse tasks, environments, and morphologies.
Key Responsibilities 
Technical Leadership & Research 
- Model Scaling: Direct research into scaling laws for Physical AI, determining how to best utilize massive datasets for pre-training and fine-tuning generalist policies.
- VLA and World model development: Develop novel methods for developing and evaluating models, including new Physical AI industry benchmarks
- Hands-on Modeling: Actively write code to implement, train and test SOTA architectures. Conduct research on Physical AI data collection, cross-embodiment training, and policy fine-tuning.  
- Data Strategy: Collaborate with internal labeling teams to design "robotic-native" data pipelines, including the use of VLMs for automated trajectory annotation and data synthesis.
- Collaborate closely with customers to drive the industry forward in using Scale data 
Team Management & Execution 
- Mentorship: Lead and grow a team of 4-6 elite Physical AI  researchers, fostering a culture of high-velocity experimentation and rigorous evaluation.
- Paper-to-Product: Translate the latest research from NeurIPS, ICRA, and CVPR into production-ready features for Scale’s Physical AI partners.
- Cross-functional Alignment: Work with cross-functional teams (e.g Product and Operations) to bring our research breakthroughs into production. 
Required Qualifications 
AI/ML Excellence 
- Deep Learning Mastery: Expert-level proficiency in PyTorch , with deep knowledge of Transformer architectures , Attention mechanisms , and Self-Supervised Learning .
- VLM/VLA Experience: Proven track record of working with Vision-Language Models (e.g., CLIP, PaLM-E) and adapting them for spatial reasoning or embodied tasks.
- Generative AI: Experience with Diffusion Models for sequence generation or Generative World Models for predictive

## Apply

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_Generated 2026-05-24 for Jobs in AI._