or apply directly on Helsing's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 29 days Helsing's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of Helsing's roles list one
- Ghost-job risk at Helsing
- high 90 stale, 3 reposted of 141 open
- Hiring momentum
- 187 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Helsing's own greenhouse board since 2026-08-03. Full hiring picture for Helsing.
About this role
In this role, you will be responsible for the detection and tracking models that power Helsing's products, focusing on training, tuning, and deploying these models using US-specific datasets. Your daily tasks will include managing the full model lifecycle, optimizing models for deployment on constrained platforms, and collaborating with systems engineers to integrate your work into the broader AI-powered drone software platform, Altra.
- benefits
- 2/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Helsing as an employer.
What you need
- 5+ years of experience in applied machine learning or computer vision
- Bachelor's degree in Computer Science, Electrical Engineering, or a related field; Master's or PhD strongly preferred
- Production experience training and deploying object detection models
- Proficient in Python and PyTorch or a comparable deep learning framework
- Strong intuition for data quality
- Experience with the full model training lifecycle: data curation, annotation management, training, evaluation, and deployment
Nice to have
- 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
What you get
- Generous compensation and benefits package including insurance coverage (medical and travel)
- Flexible paid time off
- Paid holidays
- Remote and/or hybrid work available depending on position
Worth weighing
- No specific salary listed
- Work involves unique technical requirements and constraints
- Emphasis on ethical and geopolitical considerations in the role
- Company is relatively young but has secured significant government contracts
Summarised from Helsing's posting. Read the full original.
Listed by Helsing on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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