# Software Engineer, Machine Learning (Systems)

**Company:** [Sweep360](https://hotfix.jobs/companies/sweep360)
**Location:** New York, NY
**Role:** ML Engineering
**Salary:** Up to $240k/yr
**Experience:** 5+ years
**Skills:** Python, Go, TypeScript, Machine Learning, LLMs, APIs, Data Pipelines, Kubernetes, Kafka, Streaming Systems
**Posted:** 2026-04-17

> Build and operate ML systems that process raw signals into reliable decisions across device, cloud, and offline environments for high-stakes cyber-physical security. Requires 5-10 years experience with production ML/LLM deployment, strong Python plus Go/TS, and system design expertise.

## Job Description

## Responsibilities
- 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).

## Requirements
- 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.

## Nice-to-Haves
- 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.

## Compensation
- 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.

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