Senior Pretraining Engineer — Video & Multimodal AI

Acceler8 Talent; California (MO); Hybrid; USD 180,000 - 260,000; Full time

Job summary

Acceler8 Talent is seeking a Senior Pretraining Engineer to own large-scale video and multimodal pre-training. You will train models across distributed GPU infrastructure and push research into working systems for autonomous robotics applications.

The role focuses on video, vision, diffusion, flow matching and other generative-model approaches, requiring strong software engineering and training-systems fundamentals. Onsite in Bay Area.

Qualifications

• Large-scale video and multimodal pre-training
• Distributed GPU compute for large models
• Training large models on large datasets
• Debugging difficult training failures at scale
• Understanding interaction between models, data and compute
• Flow matching or diffusion models or adjacent generative-model approaches
• Strong software engineering and training-systems fundamentals
• Designing experiments where compute cost makes mistakes consequential

Responsibilities

• Own large-scale video and multimodal pre-training runs
• Train models across substantial distributed GPU infrastructure
• 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

Video pre-training

Multimodal models

Distributed training

GPU compute

Flow matching

Diffusion models

Training systems

Experimentation

Software engineering

Model debugging

Tools

PyTorch

CUDA

TensorFlow

Job description

Acceler8 Talent is seeking a Senior Pretraining Engineer to own large-scale video and multimodal pre-training. You will train models across distributed GPU infrastructure and push research into working systems for autonomous robotics applications.

The role focuses on video, vision, diffusion, flow matching and other generative-model approaches, requiring strong software engineering and training-systems fundamentals. Onsite in Bay Area.