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AI Research Engineer - Computer Vision(m/w/x)
Building computer vision models for object recognition, tracking, and scene matching in defence AI. MSc in CS, ML, or related field with AI system evaluation experience required. Relocation support up to €2,500, 4 weeks temporary accommodation.
Requirements
- MSc in computer science, machine learning, robotics or related field
- Experience in conceptualising, implementing and evaluating AI systems
- Excellent communication skills
- Ability to report and present research findings
- Passion for keeping up with current research
- Enjoyment of reimplementing/extending Deep Learning papers
- Solid software engineering skills
- Writing clean, well-structured code in Python
- Experience deploying AI software to production
- Experience with testing, QA, and monitoring
- PhD in computer vision, machine learning, robotics, or related field
- Authored publications in top-tier journals/conferences
- Experience with object detection and categorisation
- Experience with single and multi-object tracking
- Experience with scene understanding and matching
- Experience with 3D computer vision
- Designed, developed, evaluated state of art AI methods on edge devices
- Led end-to-end product delivery of AI methods
- Experience with simulators, emulators, or synthetic data generators
- Experience with Rust
- Experience with C++
Tasks
- Build computer vision models for object recognition
- Develop models for tracking and video understanding
- Create models for scene matching
- Leverage state-of-the-art methods and architectures
- Design experiments to evaluate model performance
- Conduct benchmarks to improve real-world performance
- Adapt models to target hardware constraints
- Develop techniques for downstream ML/AI tasks
- Collaborate with cross-functional teams
- Contribute to impactful projects
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Native
Tools & Technologies
- Python
- Rust
- C++
- Deep Learning
Benefits
Competitive Pay
- VSOP options
Additional Allowances
- Relocation support up to €2,500
- Yearly learning allowance of €500
- Monthly social allowances
Workation & Sabbatical
- 4 weeks temporary accommodation
Healthcare & Fitness
- Gym membership
Mental Health Support
- Mental health support (Nilo.health)
Team Events
- Regular company events
Generous Parental Leave
- Enhanced parental leave (22 weeks primary, 6 weeks secondary)
More Vacation Days
- 5 days paid family emergency leave
Flexible Working
- 100% remote work option during pregnancy
- Phased return to work
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AI Research Engineer - Computer Vision(m/w/x)
Building computer vision models for object recognition, tracking, and scene matching in defence AI. MSc in CS, ML, or related field with AI system evaluation experience required. Relocation support up to €2,500, 4 weeks temporary accommodation.
Requirements
- MSc in computer science, machine learning, robotics or related field
- Experience in conceptualising, implementing and evaluating AI systems
- Excellent communication skills
- Ability to report and present research findings
- Passion for keeping up with current research
- Enjoyment of reimplementing/extending Deep Learning papers
- Solid software engineering skills
- Writing clean, well-structured code in Python
- Experience deploying AI software to production
- Experience with testing, QA, and monitoring
- PhD in computer vision, machine learning, robotics, or related field
- Authored publications in top-tier journals/conferences
- Experience with object detection and categorisation
- Experience with single and multi-object tracking
- Experience with scene understanding and matching
- Experience with 3D computer vision
- Designed, developed, evaluated state of art AI methods on edge devices
- Led end-to-end product delivery of AI methods
- Experience with simulators, emulators, or synthetic data generators
- Experience with Rust
- Experience with C++
Tasks
- Build computer vision models for object recognition
- Develop models for tracking and video understanding
- Create models for scene matching
- Leverage state-of-the-art methods and architectures
- Design experiments to evaluate model performance
- Conduct benchmarks to improve real-world performance
- Adapt models to target hardware constraints
- Develop techniques for downstream ML/AI tasks
- Collaborate with cross-functional teams
- Contribute to impactful projects
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Native
Tools & Technologies
- Python
- Rust
- C++
- Deep Learning
Benefits
Competitive Pay
- VSOP options
Additional Allowances
- Relocation support up to €2,500
- Yearly learning allowance of €500
- Monthly social allowances
Workation & Sabbatical
- 4 weeks temporary accommodation
Healthcare & Fitness
- Gym membership
Mental Health Support
- Mental health support (Nilo.health)
Team Events
- Regular company events
Generous Parental Leave
- Enhanced parental leave (22 weeks primary, 6 weeks secondary)
More Vacation Days
- 5 days paid family emergency leave
Flexible Working
- 100% remote work option during pregnancy
- Phased return to work
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Helsing
Industry
Engineering
Description
Helsing is a new type of defence and artificial intelligence company focused on technology leadership to protect democratic societies.
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