Software Engineer, Implicit Signals Platform

United States Digital Space LLC; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

United States Digital Space LLC is seeking a software engineer to build and evolve our classification and evaluation platform. You’ll develop services, online and offline pipelines, and tools that help researchers turn ideas into measurable results.

This role combines software and data engineering with production ownership. You’ll shape architecture, improve inference efficiency, and ensure reliability as workloads grow while partnering with ML engineers and post-training researchers.

Qualifications

• Experience designing, building, and operating software services or distributed systems at scale.
• Strong fundamentals in API design, concurrency, caching, performance, and failure recovery.
• Ability to investigate complex production problems and make sound architectural tradeoffs.
• A track record of owning software from initial design through deployment and ongoing operation.
• Strong product judgment and an interest in working directly with technical users.
• Comfort with ambiguous problems and broad ownership across multiple parts of a system.
• Fluency in using AI agents to move quickly across multiple workstreams in a fast‑paced environment.
• Interest in machine learning, data science, and statistics; experience with model serving, ML platforms, or inference optimization is a plus.

Responsibilities

• Design and build software services and APIs for configuring, running, and managing classifiers and evaluations.
• Build and operate online and offline classification pipelines that support reliable, efficient execution at scale.
• Improve model‑serving performance, including throughput, latency, concurrency, and compute utilization.
• Build tools that make experimentation, debugging, and iteration straightforward for researchers and data scientists.
• Own production reliability, observability, and incident response, and reduce the operational burden of running the platform.
• Partner with machine learning engineers to bring new classification capabilities into production.
• Work closely with post‑training researchers and data scientists to understand their workflows, identify high‑impact improvements, and shape the product.

Skills

API design

Concurrency

Performance

Distributed systems

Ownership

Education

Bachelor's degree in CS or related field

Tools

Model serving

Job description

United States Digital Space LLC is seeking a software engineer to build and evolve our classification and evaluation platform. You’ll develop services, online and offline pipelines, and tools that help researchers turn ideas into measurable results.

This role combines software and data engineering with production ownership. You’ll shape architecture, improve inference efficiency, and ensure reliability as workloads grow while partnering with ML engineers and post-training researchers.