Machine Learning Engineer
$240,000–$240,000 year
On-siteNew York City, New York, United States or New York, United States
Job Summary
Design ingestion, reasoning, and decision systems to ensure reliability of the entire AI system from data ingestion to operator decisions. Drive inference reliability, predictable logic, and transparent reasoning while turning noisy cyber-physical observations into trusted operational decisions. Partner with RF, hardware, and field teams to deliver for elite users globally, managing deployments and system learning across edge devices, cloud, and intermittent connectivity. Shape how the production AI system behaves in real-world conditions and define reasoning under uncertainty for high-stakes environments.
Required Qualifications
- 5–10 years owning production systems end-to-end
- Strong system design across APIs, pipelines, and data storage
- Built production AI systems trusted in real-world operations
- Strong Python
- Go/TypeScript (or similar)
- Comfortable building systems spanning edge devices, cloud, and intermittent connectivity
- Able to debug production systems quickly and decisively
- Communicates clearly and operates independently
- U.S. Person status required (may involve export-controlled data)
- Partner with RF / hardware / field teams to deliver for elite users globally (~10–15% travel)
Desired Qualifications
- Handled streaming systems (Kafka, pub/sub)
- Created production LLM or inference pipelines (prompting, retrieval, evaluation)
- Designed for adversarial or security environments
- Built systems that run on-device as well as in the cloud
- Thrived in an early-stage startup environment
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