Machine Learning Engineer
Build and lead Sweep’s production AI decision system, converting noisy cyber-physical signals into reliable operational decisions across edge and cloud environments. The role requires 5–10 years of end-to-end production systems experience, strong Python and systems design skills, and comfort working in high-stakes deployments.
About the job
Responsibilities
- Shape how the production AI system behaves in real-world environments.
- Design ingestion → reasoning → decision systems.
- Drive inference reliability, predictable logic, and transparent reasoning.
- Close the loop from deployments to system learning.
- Build trusted AI systems for high-stakes operational use.
- Partner with RF, hardware, and field teams.
- Work across edge devices, cloud environments, and intermittent connectivity.
- Travel approximately 10–15% for domestic and global deployments.
Requirements
- 5–10 years owning production systems end-to-end.
- Strong system design skills across APIs, pipelines, and data storage.
- Experience building production AI systems trusted in real-world operations.
- Strong Python skills, plus Go, TypeScript, or similar.
- Ability to build systems spanning edge devices and cloud infrastructure.
- Ability to debug production systems quickly and decisively.
- Clear communication and independent operation.
- U.S. Person status required; the role may involve export-controlled data.
Nice-to-Haves
- Experience with streaming systems such as Kafka or Pub/Sub.
- Production LLM or inference pipelines, including prompting, retrieval, and evaluation.
- Designing systems for adversarial or security environments.
- Building systems that run both on-device and in the cloud.
- Experience working in an early-stage startup environment.
Compensation and Benefits
- Base salary up to $240,000, depending on qualifications, experience, and impact.
- Total compensation includes equity, premium insurance, 401(k), flexible PTO, and other individual benefits.
- On-site work at the company headquarters in New York City.
Skills
Python, Go, TypeScript, APIs, Data Pipelines, Data Storage, Kafka, Pub/Sub, Llm Pipelines, Inference, Retrieval, Edge Computing, Cloud Infrastructure, Cyber-Physical Security, System Design
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