Principal Research Engineer (World Models)

Insight Recruitment; New York (NY); In loco; USD 180.000 - 260.000; Tempo pieno

Descrizione del lavoro

Insight Recruitment partners with a venture-backed robotics AI company developing autonomous systems for real-world industrial applications. We are seeking a Principal AI Research Engineer specializing in World Models and Generative Modelling to lead research at the intersection of AI, simulation and robotics.

You’ll design and train large-scale generative models, build action- conditioned simulation, and shape the translation from research to deployment alongside robotics and software teams.

Competenze

• Experience architecting and training large-scale video generation models, world models or other advanced generative systems.
• Strong understanding of generative modelling, sequence modelling and modern deep learning architectures.
• Experience developing action-conditioned or state-conditioned models capable of generating controllable future predictions.
• Experience building large-scale training datasets, data pipelines and evaluation frameworks.
• A track record of taking complex research concepts through to working technical implementations.
• The ability to operate at a senior technical level, setting research direction and influencing engineering decisions.

Mansioni

• World Model Development: Architect and train large-scale generative models capable of learning complex environments and predicting future states.
• Action-Conditioned Simulation: Develop controllable generative models that can simulate how environments evolve in response to different actions and inputs.
• Model Training & Scaling: Lead research into training methodologies, model architectures and scaling approaches for next-generation world models.
• Data Infrastructure: Develop the data pipelines and infrastructure required to train, curate and improve large-scale world models.
• Evaluation Frameworks: Establish robust evaluation methodologies to measure model performance, predictive accuracy and downstream impact on robotic systems.
• Research to Deployment: Work closely with robotics and engineering teams to translate research breakthroughs into practical capabilities.

Conoscenze

Video generation

World models

Generative modelling

Sequence modelling

Deep learning

Action-conditioned

Data pipelines

Evaluation frameworks

Research implementation

Descrizione del lavoro

Location: New York City or San Francisco

Working Arrangement: Full-time, On-site

About the Opportunity

We're partnering with an ambitious, venture-backed robotics AI company developing advanced autonomous systems for real-world industrial applications.

The company is focused on bringing intelligent robotic systems into complex, dynamic environments, tackling physically demanding tasks that require high levels of reliability, adaptability and precision.

With a multidisciplinary team spanning robotics, machine learning, hardware and software engineering, the business is developing its technology in-house, from physical systems through to the intelligence that powers them.

Following significant technical and commercial progress, the company is now looking to expand its research capabilities with a senior technical hire who can help shape the next generation of its AI architecture.

The Role

We're looking for a Principal AI Research Engineer specialising in World Models and Generative Modelling to drive research and development at the intersection of generative AI, simulation and robotics.

You’ll play a key role in developing models that allow robotic systems to understand, predict and interact with complex physical environments.

This is a highly influential position for someone who has worked on large-scale generative models and wants to translate cutting-edge research into practical, real-world robotic capabilities.

What You’ll Be Working On

• World Model Development: Architect and train large-scale generative models capable of learning complex environments and predicting future states.
• Action-Conditioned Simulation: Develop controllable generative models that can simulate how environments evolve in response to different actions and inputs.
• Model Training & Scaling: Lead research into training methodologies, model architectures and scaling approaches for next-generation world models.
• Data Infrastructure: Develop the data pipelines and infrastructure required to train, curate and improve large-scale world models.
• Evaluation Frameworks: Establish robust evaluation methodologies to measure model performance, predictive accuracy and downstream impact on robotic systems.
• Research to Deployment: Work closely with robotics and engineering teams to translate research breakthroughs into practical capabilities.

What We’re Looking For

We're particularly interested in candidates who have:

• Experience architecting and training large-scale video generation models, world models or other advanced generative systems.
• Strong understanding of generative modelling, sequence modelling and modern deep learning architectures.
• Experience developing action-conditioned or state-conditioned models capable of generating controllable future predictions.
• Experience building large-scale training datasets, data pipelines and evaluation frameworks.
• A track record of taking complex research concepts through to working technical implementations.
• The ability to operate at a senior technical level, setting research direction and influencing engineering decisions.

Particularly interesting backgrounds include:

• Large-scale video generation and predictive modelling.
• Generative simulation and environment modelling.
• World models for embodied intelligence.
• Research involving controllable video generation, temporal modelling or interactive environments.

Why Consider This Opportunity?

• Technical Ownership: Take a leading role in defining the company's world-model research direction.
• Real-World Impact: Work on technology being developed for deployment in physical environments, rather than purely research or demonstration purposes.
• Strong Foundations: Join a business with established engineering capabilities and meaningful commercial traction.
• Influence: Help shape the technical roadmap and future research capabilities of a growing AI organisation.
• Equity & Upside: Opportunity to join at a stage where senior technical hires can have significant influence over the company's future.