# Machine Learning Engineer, Detection and Tracking at Helsing

- Company: Helsing
- What the company does: Backed by Accel, General Catalyst and Lightspeed.
- Company website: https://helsing.ai/
- Type: Startups (AI role)
- Level: Mid level
- Location: Washington, DC
- Work setup: On-site
- Posted: 2026-08-18
- Apply by: 2026-10-08
- Apply: https://helsing.ai/jobs/4953562101?gh_jid=4953562101
- Page: https://www.1752.vc/careers/jobs/helsing-machine-learning-engineer-detection-and-tracking/

## About the role

You will own the detection and tracking models that power Helsing's products — training, tuning, and deploying models against US-specific datasets. This is an applied ML role: you won't be writing research papers, but you will be expected to have strong intuition for model performance, data quality, and the practical trade-offs involved in getting detection and tracking systems to work reliably in production.

## What they're looking for

- Training and fine-tuning detection models (YOLO, DETR, Faster R-CNN, and similar architectures) on mission-specific datasets
- Implementing and improving multi-object tracking pipelines (SORT, DeepSORT, ByteTrack, or similar)
- Evaluating model performance: analyzing metrics, diagnosing failure modes, and iterating on data and model improvements
- Managing the data pipeline end-to-end: assessing raw data, coordinating annotation, curating datasets, and implementing augmentation strategies
- Optimizing models for deployment on SWaP-constrained and embedded platforms (quantization, pruning, TensorRT, ONNX export)
- Collaborating with systems engineers to integrate models into the broader Altra platform

Tags: AI & Engineering