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.

What makes this role special?

* 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

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

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)

How we select...

* Short application

* 20-minute intro call

* Technical deep-dive

* Practical problem discussion

* References and offer

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.