Remote ML Platform Engineering Manager

United States Digital Space LLC; United States; Remote; USD 181,000 - 241,000; Full time

Benefits offered by this job

Health coverage for you and dependents

Flexible Spending Wallets

Paid time off

Employee stock purchase plan

Job summary

United States Digital Space LLC is seeking an Engineering Manager to lead the ML Training & Serving team, combining leadership with strong technical judgment in ML infrastructure. This remote-first role offers a pay range and equity within a transparent compensation structure.

You will recruit, coach, and retain platform engineers, define the team's roadmap, and ensure the platform supports high-priority ML initiatives across training, serving, and GPU infrastructure.

Qualifications

• 7+ years of industry experience in software and/or ML engineering.
• 2+ years managing engineers and hands-on software engineering experience.

Responsibilities

• Define and execute the roadmap for ML training & serving, spanning model training, deployment workflows, GPU infrastructure, and low-latency model serving.
• Lead, coach, and grow a team of platform engineers while staying closely engaged in technical decisions and execution.
• Drive delivery and operational health for the team's infrastructure, balancing reliability, developer experience, performance, and cost.
• Evaluate and adopt modern ML infrastructure capabilities as the company's needs evolve, including transformer-based workloads and GPU compute.
• Collaborate with ML modeling, product, and infrastructure teams to ensure the platform supports the company's highest-priority ML initiatives.
• Recruit, develop, and retain high-performing platform engineers.

Skills

Team leadership

ML infrastructure

Distributed systems

Cross-functional collaboration

Hiring & mentoring

Strategic roadmap

Education

Bachelor's degree in a technical field

Tools

GPU infrastructure

ML workflow tooling

Job description

United States Digital Space LLC is seeking an Engineering Manager to lead the ML Training & Serving team, combining leadership with strong technical judgment in ML infrastructure. This remote-first role offers a pay range and equity within a transparent compensation structure.

You will recruit, coach, and retain platform engineers, define the team's roadmap, and ensure the platform supports high-priority ML initiatives across training, serving, and GPU infrastructure.