Senior Video & Multimodal AI Pretraining Engineer

Acceler8 Talent; San Jose (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Acceler8 Talent in the Bay Area is hiring a Senior Pretraining Engineer to lead large-scale video and multimodal pre-training efforts. You will shape architecture, training infrastructure, data and experiments to build systems for robotic intelligence in real-world environments.

This onsite role sits in Bay Area with our R&D team in San Jose. You should have experience with large-scale video or multimodal pre-training, distributed training across substantial GPU compute, and familiarity with

Qualifications

• Experience with large-scale video, vision or multimodal pre-training.
• Distributed training across substantial GPU compute.
• Understanding the interaction between models, data and compute.
• Flow matching, diffusion models or adjacent generative-model approaches.
• Strong software engineering and training-systems fundamentals.
• Ability to discuss training runs that didn't work and lessons learned.

Responsibilities

• Own large-scale video and multimodal pre-training runs
• Develop and improve generative approaches including flow matching and diffusion
• Diagnose instability, convergence issues and large-scale training failures
• Improve training efficiency, reliability and experiment velocity
• Build safeguards based on lessons from failed or expensive training runs
• Work closely with robotics, simulation, perception and systems engineers
• Push research ideas into working systems rather than isolated experiments

Skills

Large-scale video pre-training

Multimodal pre-training

Distributed training

GPU compute

Software engineering

Flow matching

Diffusion models

Experiment design under compute cost

Job description

Acceler8 Talent in the Bay Area is hiring a Senior Pretraining Engineer to lead large-scale video and multimodal pre-training efforts. You will shape architecture, training infrastructure, data and experiments to build systems for robotic intelligence in real-world environments.

This onsite role sits in Bay Area with our R&D team in San Jose. You should have experience with large-scale video or multimodal pre-training, distributed training across substantial GPU compute, and familiarity with