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Designing deep learning models for computer vision in autonomous flight technologies. 5+ years of deep learning for computer vision experience required. Safety-critical environment training, full ML stack experience.
Requirements
- Strong C++ or Rust programming skills
- Master’s or PhD in computer science, physics, mathematics, or related technical field
- At least 5 years of deep learning for computer vision experience
- Full ML stack experience (model design, training, evaluation)
- Solid understanding of data-centric AI approaches
- Simulation environments or synthetic data generation experience (plus)
- Proven ability to tackle complex research problems
- Thrives in environments with hard, ambiguous problems
- Engineering reliable, scalable, certifiable systems
- Long-term thinking and validation focus
- Ownership of real-world performance
Tasks
- Design deep learning models for computer vision
- Train and optimize neural networks in safety-critical environments
- Develop and implement data strategies
- Architect and deploy machine learning models
- Monitor model performance and reliability
- Create robust evaluation pipelines
- Ensure models meet safety and regulatory requirements
- Conduct ML certification activities
- Utilize transfer learning and simulation
- Scale training and testing beyond real-world data
- Collaborate with software, systems, and flight teams
- Integrate ML models into real-world applications
- Improve model performance in edge cases
- Adapt models to environmental variability
- Optimize models for operational constraints
Work Experience
- 5 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- C++
- Rust
- deep learning
- computer vision
- ML stack
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Designing deep learning models for computer vision in autonomous flight technologies. 5+ years of deep learning for computer vision experience required. Safety-critical environment training, full ML stack experience.
Requirements
- Strong C++ or Rust programming skills
- Master’s or PhD in computer science, physics, mathematics, or related technical field
- At least 5 years of deep learning for computer vision experience
- Full ML stack experience (model design, training, evaluation)
- Solid understanding of data-centric AI approaches
- Simulation environments or synthetic data generation experience (plus)
- Proven ability to tackle complex research problems
- Thrives in environments with hard, ambiguous problems
- Engineering reliable, scalable, certifiable systems
- Long-term thinking and validation focus
- Ownership of real-world performance
Tasks
- Design deep learning models for computer vision
- Train and optimize neural networks in safety-critical environments
- Develop and implement data strategies
- Architect and deploy machine learning models
- Monitor model performance and reliability
- Create robust evaluation pipelines
- Ensure models meet safety and regulatory requirements
- Conduct ML certification activities
- Utilize transfer learning and simulation
- Scale training and testing beyond real-world data
- Collaborate with software, systems, and flight teams
- Integrate ML models into real-world applications
- Improve model performance in edge cases
- Adapt models to environmental variability
- Optimize models for operational constraints
Work Experience
- 5 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- C++
- Rust
- deep learning
- computer vision
- ML stack
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Destinus
Industry
Aerospace
Description
Destinus revolutionizes the defense industry with cutting-edge UAVs, providing advanced solutions for mission-critical operations.
Not a perfect match?
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