ML Systems Engineer — Distributed Diffusion Research

Bagel Labs; United States; On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Competitive compensation

Meaningful equity

Paid travel to conferences

Job summary

Bagel Labs seeks a Systems Engineer to enhance its AI infrastructure. You will focus on building and operating distributed training systems for AI research, ensuring the reliability and reproducibility of experiments.

The ideal candidate has experience with distributed training, GPU workloads, and a commitment to creating tools that researchers will adopt. The role offers competitive compensation and opportunities for paid travel to leading ML conferences.

Qualifications

• Hands on experience with distributed training and GPU workloads.
• Ability to debug performance and reliability issues.
• Strong understanding of ML infrastructure.

Responsibilities

• Build and operate distributed training for diffusion workloads.
• Ensure reliability and reproducibility in experiments.
• Build benchmark and evaluation harnesses.

Skills

Distributed training

GPU workloads

Experiment infrastructure

Large scale ML systems

Debugging performance issues

Clear communication

Job description

Bagel Labs seeks a Systems Engineer to enhance its AI infrastructure. You will focus on building and operating distributed training systems for AI research, ensuring the reliability and reproducibility of experiments.

The ideal candidate has experience with distributed training, GPU workloads, and a commitment to creating tools that researchers will adopt. The role offers competitive compensation and opportunities for paid travel to leading ML conferences.