Applied Computer Vision Engineer Edge ML & Tracking

Helsing; Washington (District of Columbia); Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Generous compensation package

Flexible paid time off

Remote and/or hybrid work options

Job summary

Helsing in Washington DC seeks an experienced applied machine learning professional to own detection and tracking models. You'll manage model lifecycle from training to deployment, working with various architectures and datasets.

Ideal candidates will have 5+ years in machine learning, a relevant Bachelor's or higher degree, and hands-on experience with object detection models. Benefits include a generous compensation package, flexible time off, and remote or hybrid work options.

Qualifications

• 5+ years of experience in applied machine learning or computer vision.
• Production experience training and deploying object detection models required.
• Experience optimizing models for deployment on SWaP-constrained platforms.

Responsibilities

• Manage the full model lifecycle including training, evaluation, and deployment.
• Train and fine-tune detection models on mission-specific datasets.
• Collaborate with systems engineers to integrate models into the broader platform.

Skills

Applied machine learning

Computer vision

Python

PyTorch

Model optimization

Education

Bachelor's degree in Computer Science or related field

Master's or PhD in a related field

Tools

TensorRT

ONNX

CVAT

Label Studio

Job description

Helsing in Washington DC seeks an experienced applied machine learning professional to own detection and tracking models. You'll manage model lifecycle from training to deployment, working with various architectures and datasets.

Ideal candidates will have 5+ years in machine learning, a relevant Bachelor's or higher degree, and hands-on experience with object detection models. Benefits include a generous compensation package, flexible time off, and remote or hybrid work options.