Strategic Frontier ML Deployment Engineer

United States Digital Space LLC; United States; Hybrid; USD 140,000 - 230,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

the company in New York is seeking Forward Deployed Engineers to lead end-to-end deployments of frontier models, partnering with customer engineering and domain teams. You will own discovery, scoping, system design, build and production rollout, contributing to code when needed.

The role emphasizes measuring production adoption, impact, and feedback to guide product and model roadmaps, with a hybrid work model in NY and relocation assistance offered. Travel up to 50% is required.

Qualifications

• 5+ years of engineering or technical deployment experience including customer-facing work.
• Experience scoping and delivering complex systems in fast-moving or ambiguous environments.
• Production-grade code in Python, JavaScript, or comparable stacks.

Responsibilities

• Own technical delivery across multiple deployments from first prototype to stable production.
• Build full-stack systems that deliver customer value and sharpen how we learn.
• Embed closely with customer teams, understand their needs, and guide adoption of what you build.
• Scope work, sequence delivery, and remove blockers early.
• Make trade-offs between scope, speed, and quality; adjust plans to protect delivery.
• Contribute directly in the code when progress or clarity depends on it.
• Codify working patterns into tools, playbooks, or building blocks that others can use.
• Share field feedback that helps Research and Product understand where the models succeed and where they can improve.
• Keep teams moving through clarity and follow-through.

Skills

Deployment experience

Full-stack coding

LLM experience

Job description

the company in New York is seeking Forward Deployed Engineers to lead end-to-end deployments of frontier models, partnering with customer engineering and domain teams. You will own discovery, scoping, system design, build and production rollout, contributing to code when needed.

The role emphasizes measuring production adoption, impact, and feedback to guide product and model roadmaps, with a hybrid work model in NY and relocation assistance offered. Travel up to 50% is required.