Software Engineer, Implicit Signals

Highlights

• Build classification and evaluation systems giving fast feedback on model behavior.
• Improve model-serving performance across throughput, latency, and utilization.
• Own real-time pipelines and tools for experimentation at scale.

What they offer

• Equity

Ideal candidate

Product-minded distributed systems engineer who thrives owning ambiguous, large-scale platforms end-to-end and partnering closely with researchers to turn ideas into reliable measurements.

Requirements

• 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.