Machine Learning Engineer, Detection and Tracking

Have 5+ years of experience in applied machine learning or computer vision

Have a Bachelor's degree in Computer Science, Electrical Engineering, or a related field; Master's or PhD strongly preferred

Have production experience training and deploying object detection models — not just research or academic projects

Are proficient in Python and PyTorch or a comparable deep learning framework

Have strong intuition for data quality; you can look at annotated datasets, training curves, and evaluation metrics and know what's wrong

Have experience with the full model training lifecycle: data curation, annotation management, training, evaluation, and deployment

Have experience optimizing models for deployment on SWaP-constrained and edge platforms (TensorRT, ONNX, quantization)

Understand multi-object tracking and have implemented or worked with tracking algorithms in practice

Can read and contextualize scientific papers in computer vision and apply findings to production systems

U.S. citizenship required

Strong proficiency in Rust or C++ for production model deployment and optimization

Experience with multiple sensor modalities — particularly infrared or thermal imaging

Familiarity with MLOps tooling: experiment tracking (MLflow, Weights & Biases), dataset versioning, model registries

Experience with annotation tools and workflows (CVAT, Label Studio, or similar)

Background in computer vision beyond detection — segmentation, pose estimation, activity recognition

Experience with simulators, emulators, or synthetic data generation for training and evaluation

Experience deploying models on GPU-accelerated embedded platforms (NVIDIA Jetson, similar)

Background in defense, intelligence, or other mission-critical environments

Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns

The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world

Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defense industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward

In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts

We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practice responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about

A focus on outcomes, not time-tracking

A generous compensation and benefits package (in addition to base salary) that includes, but may not be limited to, insurance coverage (medical and travel), flexible paid time off, paid holidays, and remote and/or hybrid work available depending on position. All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable and as may be amended, terminated or superseded from time to time.

Helsing is an Equal Opportunity Employer. We will consider all qualified applicants without regard to race, color, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, genetics, or any other characteristic protected by applicable federal, state, or local law. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.