Senior ML Infrastructure Engineer - Train & Deploy Systems

Voxel; San Francisco (CA); On-site; USD 200,000 - 240,000; Full time

Benefits offered by this job

Equity through Voxel’s Equity Incentive Plan

Health, dental, and vision insurance

Unlimited PTO and flexible work arrangements

Daily meals in‑office

Job summary

Voxel is seeking a Software Engineer to develop and optimize ML Infrastructure in San Francisco. You will build systems for training multiple vision models, manage ML experiments, and establish best practices on AWS. The role demands strong Python skills and the capacity to handle infrastructure needs effectively. Compensation ranges from $200K to $240K, with a total package including bonuses and equity, comprehensive health benefits, and flexible working arrangements.

Qualifications

• 4+ years of experience building and shipping large‑scale software solutions.
• Hands‑on experience building ML training pipelines in PyTorch.
• Strong communication skills.

Responsibilities

• Build and maintain training infrastructure for applied ML team.
• Establish ML experiment tracking and lifecycle management.
• Design scalable solutions for model development.

Skills

Python

ML training pipelines in PyTorch

AWS for ML workloads

DevOps-for-ML best practices

Tools

Weights & Biases

MLflow

ClearML

Job description

Voxel is seeking a Software Engineer to develop and optimize ML Infrastructure in San Francisco. You will build systems for training multiple vision models, manage ML experiments, and establish best practices on AWS. The role demands strong Python skills and the capacity to handle infrastructure needs effectively. Compensation ranges from $200K to $240K, with a total package including bonuses and equity, comprehensive health benefits, and flexible working arrangements.