Embodied AI Researcher: World Models & Robotics (Equity)

Insight Recruitment; San Carlos (CA); In loco; USD 170.000 - 230.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity participation

401(k) Program with Company Match

Paid Time Off & Company Holidays

Life & Disability Insurance

Collaborative Onsite Environment

Descrizione del lavoro

Insight Recruitment is seeking an AI Researcher (World Models & Embodied AI) for a full-time position in California. The role focuses on building next-generation embodied intelligence systems at the intersection of large-scale AI, multimodal foundation models, data infrastructure, distributed training, and real-world robotics deployment.

You will contribute to developing advanced AI capable of learning from real-world interactions, shaping production-grade systems and deploying intelligent

Competenze

• Bachelor's, Master's or PhD in CS/ML/Robotics or related field.
• Strong programming experience with Python.
• Advanced experience using PyTorch or equivalent deep learning frameworks.
• Experience working in large-scale machine learning codebases.
• Demonstrated expertise in Data Infrastructure or Evaluation Systems

Mansioni

• Develop multimodal generative models capable of learning from large-scale real-world data.
• Advance model architectures, tokenization strategies, and training methodologies.
• Improve robotic prediction, planning, and decision-making capabilities.
• Build data pipelines and tooling for large-scale data curation and validation.

Conoscenze

Python

PyTorch

ML codebases

Research depth

Autonomy

Formazione

BS/MS/PhD in CS/ML/Robotics

Strumenti

Deep learning frameworks

Descrizione del lavoro

Insight Recruitment is seeking an AI Researcher (World Models & Embodied AI) for a full-time position in California. The role focuses on building next-generation embodied intelligence systems at the intersection of large-scale AI, multimodal foundation models, data infrastructure, distributed training, and real-world robotics deployment.

You will contribute to developing advanced AI capable of learning from real-world interactions, shaping production-grade systems and deploying intelligent