Software Engineer, Machine Learning (Systems)
Why Sweep
We're building humanity's defense layer for the AI age and are looking for an exceptional ML engineer to stabilize the system that turns raw signal into decisions — across device, cloud, and offline environments. If you would have joined early Tesla to make Autopilot work in the real world and improve across the fleet — this is that role.
What we're looking for...
- 5-10 years building and operating production systems
- Strong system design across APIs, pipelines, and data storage
- Deployed ML / LLM systems in production and improved them via feedback loops
- Strong Python, plus Go/TypeScript (or similar)
- Comfortable working across device and cloud environments
- Able to debug production systems quickly and decisively
- Communicates clearly and operates independently
U.S. Person status required (may involve export-controlled data)
Bonus if you've...
- Built RF / BLE classification systems and models from zero
- Handled streaming systems (Kafka, pub/sub)
- Created LLM pipelines (prompting, retrieval, evaluation)
- Designed for adversarial or security environments
- Built systems that run on-device as well as in the cloud
- Thrived in early-stage startup environment
- Own system behavior and data pipelines
- Design ingestion → reasoning → decision systems
- Improve the decision layer for consistency and reliability
- Close the loop from deployments → system learning
- Ensure system reliability across device, cloud, and partial connectivity
- Partner with RF / hardware / field teams to deliver for elite users globally (:10-15% travel)
- Short application
- 20-minute intro call
- Technical deep-dive
- Praactical problem discussion
- References and offer
- Final facts
What you'll do...
How we select...
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.
You'll join us on-site at our HQ in New York City with occasional domestic and global deployments.
Apply. Make history. Build humanity's defense against machines.