1X Technologies AS
AI Research Engineer, World Models
1X Technologies AS, Palo Alto, California, United States, 94306
AI Research Engineer, Foundation Models
Palo Alto, CA (on-site)
We build humanoid robots that work alongside people to solve labor shortages and create abundance.
The Role You will build large multi-modal generative “world models” that predict future sensor inputs and robot actions based on past observations. These foundational models enable robots to understand and operate effectively in unstructured, real-world environments. You’ll work across data pipelines, model architectures, and deployment to drive improvements in robot autonomy. This role combines cutting-edge research with hands‑on product development to push the limits of robot intelligence.
You Will
Build full-stack systems across data engineering, model architecture, and product delivery
Develop high-throughput data loaders for large-scale, multi-modal robot datasets
Implement tokenizers and transformers designed for web-scale robotic data
Improve robot autonomy by advancing world model architectures
Predict robot performance in the real world based on pre-training metrics such as log loss
Must Have
Strong experience with Python and related tools such as Bazel
Proficiency with PyTorch or equivalent deep learning frameworks
Familiarity with simulation platforms such as Isaac Sim or MuJoCo
Experience working with multi-modal generative models combining video, audio, text, and action prediction
Ability to design and optimize large-scale data pipelines for training
Understanding of scaling laws and performance metrics for foundation models
Benefits & Compensation
Salary Range: $180,000 – $300,000 + Equity
Health, dental, and vision insurance
401(k) with company match
Paid time off and holidays
Equal Opportunity Employer 1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, or any other characteristic protected under applicable federal, state, or local law.
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The Role You will build large multi-modal generative “world models” that predict future sensor inputs and robot actions based on past observations. These foundational models enable robots to understand and operate effectively in unstructured, real-world environments. You’ll work across data pipelines, model architectures, and deployment to drive improvements in robot autonomy. This role combines cutting-edge research with hands‑on product development to push the limits of robot intelligence.
You Will
Build full-stack systems across data engineering, model architecture, and product delivery
Develop high-throughput data loaders for large-scale, multi-modal robot datasets
Implement tokenizers and transformers designed for web-scale robotic data
Improve robot autonomy by advancing world model architectures
Predict robot performance in the real world based on pre-training metrics such as log loss
Must Have
Strong experience with Python and related tools such as Bazel
Proficiency with PyTorch or equivalent deep learning frameworks
Familiarity with simulation platforms such as Isaac Sim or MuJoCo
Experience working with multi-modal generative models combining video, audio, text, and action prediction
Ability to design and optimize large-scale data pipelines for training
Understanding of scaling laws and performance metrics for foundation models
Benefits & Compensation
Salary Range: $180,000 – $300,000 + Equity
Health, dental, and vision insurance
401(k) with company match
Paid time off and holidays
Equal Opportunity Employer 1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, or any other characteristic protected under applicable federal, state, or local law.
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