Technical Lead Manager, Physical AI

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 state‑of‑the‑art 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. Customer Collaboration: 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 (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 modeling. Physical AI & Software Background Embodied AI: Strong understanding of Physical AI stack, including imitation learning, reinforcement learning (RL), and multi‑modal sensor fusion. Infrastructure: Experience with large‑scale distributed training across GPU clusters and high‑performance data loading. Leadership: 1+ years of experience leading technical teams or projects in a research‑intensive environment. Nice to Haves Publication Record: First‑author publications at top‑tier AI/ML conferences (NeurIPS, CVPR, ICRA, CoRL). Hardware Generalization: Experience building models that work across different robot types (arms, mobile bases, humanoids). Sim‑to‑Real: Experience with high‑fidelity simulators (e.g., Isaac Gym, MuJoCo) and the nuances of physical domain adaptation. Compensation packages include base salary, equity, and benefits. The base salary range for this full‑time position in San Francisco is $248,800 – $311,000 USD. Benefits include comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and a commuter stipend. Equal Employment Opportunity — We are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We comply with the United States Department of Labor's Pay Transparency provision. We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. #J-18808-Ljbffr Scale AI, Inc.