Senior ML Systems Engineer - Production-Scale AI

United States Digital Space LLC; Germany (OH); On-site; USD 180,000 - 240,000; Full time

Job summary

United States Digital Space LLC seeks a Senior Member of Technical Staff, Machine Learning, to own critical ML subsystems in production and ship reliable, end-to-end data-to-inference systems.

You will collaborate with research, product, and engineering teams to deliver real user impact, mentor peers, and improve system reliability under production constraints. You will write production-grade Python code and design scalable ML pipelines.

Qualifications

• You have built and shipped ML systems used by real users.
• You understand how modern ML models behave — and misbehave — in production.
• You write strong, production-quality code and think in systems, not scripts.

Responsibilities

• Own work end-to-end: data preparation, training, evaluation, inference, and iteration.
• Turn research ideas into working systems that run reliably in production.
• Debug model failures and system issues using real production signals.
• Iterate quickly: ship, measure outcomes, refine, and repeat.
• Collaborate closely with research, product, and engineering to deliver real user impact.
• Mentor and review work from other ML engineers through example and technical judgment.

Skills

ML systems

Production code

Independent ownership

Mentoring

Python

Team collaboration

Tools

PyTorch

JAX

GPU-based training

Job description

United States Digital Space LLC seeks a Senior Member of Technical Staff, Machine Learning, to own critical ML subsystems in production and ship reliable, end-to-end data-to-inference systems.

You will collaborate with research, product, and engineering teams to deliver real user impact, mentor peers, and improve system reliability under production constraints. You will write production-grade Python code and design scalable ML pipelines.