Senior Multimodal Pre-Training Architect

Walden Robotics; San Francisco (CA); In loco; USD 280.000 - 430.000; Tempo pieno

Vantaggi offerti da questo lavoro

Annual cash bonus

Company equity

Company-subsidized insurance programs

401(k) with company match

Flexible PTO

Daily lunch

Descrizione del lavoro

Walden Robotics seeks a senior technical leader to guide omni-model pre-training across language, vision-language, video, and action at massive scale. You’ll help set the research agenda, own architecture bets, and steer data and training priorities.

Working with our AI leadership and world-class team, you’ll push how far these base models scale, raise reliability, and mentor teammates while balancing research and production needs.

Competenze

• Experience pre-training large models (LLM, VLM, multimodal) at significant scale with concrete results.
• Experience training across multiple objectives or modalities and balancing them in one model.
• Hands-on experience with generative modeling of images and/or video and/or world-model approaches.

Mansioni

• Drive the pre-training agenda for omni-models across language, vision-language, video, and action.
• Train a single model across multiple losses and balance them in one model.
• Lead modeling work across architecture, tokenization, and scaling-law analysis.
• Turn petabyte-scale text, image, and video data into training-ready mixtures with the data and infra teams.
• Raise the bar on training reliability and evaluation, mentor teammates, and bring frontier ideas into our stack.

Conoscenze

Large-scale pre-training

Multi-objective training

Generative modeling

Scaling & systems

Technical leadership

Descrizione del lavoro

Walden Robotics seeks a senior technical leader to guide omni-model pre-training across language, vision-language, video, and action at massive scale. You’ll help set the research agenda, own architecture bets, and steer data and training priorities.

Working with our AI leadership and world-class team, you’ll push how far these base models scale, raise reliability, and mentor teammates while balancing research and production needs.