Technical Staff Member, Research Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Conduct experiments to teach world models new behaviors — including action following, scene manipulation, camera control, and more.

• Create and assess innovative data strategies, architectural variations, and training methodologies.

• Design evaluations to assess model capabilities and utilize the findings to enhance model performance.

• Transition features from research prototypes to production, collaborating with product and creative teams to fill application-specific gaps.

• Contribute throughout the entire stack (data pipelines, modeling, production inference) to advance projects.

⛳️ Requirements

• Over 4 years of experience in machine learning research or engineering.

• Knowledge of the architecture, training, and inference processes for large-scale multimodal generative models.

• Experience in developing robust data pipelines for both pretraining and post-training phases.

• Ability to work across the complete research stack: data, training, evaluation, and deployment.

• Proficient in at least one machine learning framework (e.g., PyTorch, JAX) and experienced in distributed training at scale.

• Capable of quickly switching contexts and driving projects forward in a dynamic and ambiguous environment.

• Passionate about creating AI that simulates the world.

🏝️ Benefits

• Pay equity.

• Opportunities for professional development.