Software Engineer, Machine Learning (Systems)

TL;DR ? 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.

Why Sweep?

As intelligent machines proliferate into every part of the physical world, we humans still lack a defense layer to ensure the systems and devices we rely on remain aligned with us. We're building that layer today by deploying alongside the world?s highest-stakes teams ? Olympic delegations, F1 paddocks, halftime shows, global tours, studio productions, senior government officials, and executive protection units. What we learn there becomes the foundation for a civilization-defining capability. We?re a small, talent-dense team with high ownership, high velocity, and low ego. We care deeply, move fast, and are here to build something that outlasts us. Together, we?ll redefine cyber-physical security for the AI age.

• First dedicated ML systems hire.
• You?re the difference between a system that exists and one that works.
• Make the system reliable under pressure ? data, pipelines, and decision logic.
• Take outputs from sensing systems and turn them into consistent, trusted decisions.
• Define how inference works when inputs are incomplete, noisy, or conflicting.
• Your work is used in high-stakes environments where outputs must be trusted.
• Gain pre-Series A ownership as one of the first 10 engineers.

  </li></ul> 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). </li></ul> 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. </li></ul> What you?ll do...
      • 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). </li></ul> How we select...
        • Short application
        • 20-minute intro call
        • Technical deep-dive
        • Practical problem discussion
        • References and offer </li></ul> Final facts. 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.