ML Infra Engineer: Scale GPU Training & Inference

Reducto; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Unlimited PTO

Free lunch

Reimbursed transportation

Generous health insurance

Health and wellness budget

Parental leave

Job summary

Reducto, a fast-growing AI company in San Francisco, is hiring a Machine Learning Infra Engineer. This role involves building and maintaining the training and inference frameworks necessary for optimal performance. Ideal candidates should possess strong Python skills, have a background in systems engineering, and experience with Kubernetes. The position offers numerous benefits, including unlimited PTO, free lunches, and health insurance coverage, all focused on fostering a productive and supportive work environment.

Qualifications

• Strong Python skills and a background in systems engineering.
• Experience with Kubernetes and distributed training frameworks.
• Ability to work in fast-changing, high-growth environments.

Responsibilities

• Build and maintain our training and inference stack.
• Develop benchmarks for training and inference to identify bottlenecks.
• Design systems for scaling model training across multi-node, multi-GPU environments.

Skills

Python skills

Systems engineering background

Kubernetes

Distributed training frameworks

Problem-solving

Job description

Reducto, a fast-growing AI company in San Francisco, is hiring a Machine Learning Infra Engineer. This role involves building and maintaining the training and inference frameworks necessary for optimal performance. Ideal candidates should possess strong Python skills, have a background in systems engineering, and experience with Kubernetes. The position offers numerous benefits, including unlimited PTO, free lunches, and health insurance coverage, all focused on fostering a productive and supportive work environment.