ML Training Infrastructure Engineer

The Consensus; New York (NY); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Competitive compensation, including equity

100% coverage of medical, dental, and vision insurance

Flexible PTO policy including company-wide Winter Break

Paid parental leave

Fertility and family-building stipend

Company-facilitated 401(k)

Exposure to ML startups for learning opportunities

Job summary

The Consensus is looking for a Software Engineer to join the Training Infrastructure team. You will design and develop a robust training platform, making architectural decisions for infrastructure that supports high performance.

The ideal candidate has a Bachelor’s degree in Computer Science and strong proficiency in Go, along with deep knowledge of Kubernetes and cloud technologies. The position offers competitive compensation and a variety of benefits.

Qualifications

• Bachelor’s degree or higher in Computer Science or related field.
• Proficiency in Go, experience with Python is a plus.
• Deep expertise with Kubernetes in production.

Responsibilities

• Design and architect scalable infrastructure systems for ML training.
• Partner with developers to translate training requirements into solutions.
• Drive long‑term improvements to improve reliability of systems.

Skills

Go

Python

Kubernetes

AWS

GCP

Distributed systems concepts

ML/AI workloads

MLOps platforms

Education

Bachelor’s degree in Computer Science or related field

Tools

Kubernetes

AWS

GCP

Job description

The Consensus is looking for a Software Engineer to join the Training Infrastructure team. You will design and develop a robust training platform, making architectural decisions for infrastructure that supports high performance.

The ideal candidate has a Bachelor’s degree in Computer Science and strong proficiency in Go, along with deep knowledge of Kubernetes and cloud technologies. The position offers competitive compensation and a variety of benefits.