Parallel Domain
Senior Machine Learning Engineer, Diffusion & Reconstruction(m/w/x)
Full-timeWith HomeofficeSenior
Karlsruhe
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PAParallel Domain
Senior Machine Learning Engineer - Pose Estimation(m/w/x)
Karlsruhe
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
As a Senior Machine Learning Engineer focused on pose estimation, you will enhance the Replica platform by developing advanced pipelines and models that ensure accurate and efficient camera pose estimation. You will collaborate with a team to drive innovation in autonomous systems.
Requirements
- Advanced degree: MS or PhD in ML, computer vision, robotics, or related field
- Industry experience applying ML to computer vision problems
- Strong Python experience and production-level code development
- Deep understanding of 3D geometry, linear algebra, and optimization
- Demonstrated experience in developing and deploying production-level machine learning models
- Experience in programming CUDA kernels for 3D computer vision applications
- Familiarity with academic research in 3D reconstruction, visual geometry transformer models, bundle adjustment or related fields
- Understanding of the autonomous systems landscape and potential applications of machine learning
- Publications in top-tier conferences or journals related to machine learning
Tasks
- Build robust structure-from-motion and pose estimation pipelines
- Improve accuracy, speed, and reliability of pose estimation components
- Develop geometric vision models for camera calibration and pose refinement
- Integrate geometric algorithms with modern machine learning tools
- Collaborate with ML engineers to curate datasets and define success metrics
Work Experience
approx. 4 - 6 years
Education
Master's degree
Languages
English – Business Fluent
Tools & Technologies
PythonCUDA
Benefits
Healthcare & Fitness
- •Employer-paid supplemental medical benefits
- •Employer-paid vision benefits
Mental Health Support
- •Employer-paid mental health benefits
Other Benefits
- •Employer-paid dental benefits
More Vacation Days
- •Flexible paid vacation
- •Winter shutdown
- •11+ holidays per year
Generous Parental Leave
- •Paid parental leave
Additional Allowances
- •Equipment budget
- •Annual learning and development stipend
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Parallel Domain and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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PAParallel Domain
Senior Machine Learning Engineer - Pose Estimation(m/w/x)
Karlsruhe
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
As a Senior Machine Learning Engineer focused on pose estimation, you will enhance the Replica platform by developing advanced pipelines and models that ensure accurate and efficient camera pose estimation. You will collaborate with a team to drive innovation in autonomous systems.
Requirements
- Advanced degree: MS or PhD in ML, computer vision, robotics, or related field
- Industry experience applying ML to computer vision problems
- Strong Python experience and production-level code development
- Deep understanding of 3D geometry, linear algebra, and optimization
- Demonstrated experience in developing and deploying production-level machine learning models
- Experience in programming CUDA kernels for 3D computer vision applications
- Familiarity with academic research in 3D reconstruction, visual geometry transformer models, bundle adjustment or related fields
- Understanding of the autonomous systems landscape and potential applications of machine learning
- Publications in top-tier conferences or journals related to machine learning
Tasks
- Build robust structure-from-motion and pose estimation pipelines
- Improve accuracy, speed, and reliability of pose estimation components
- Develop geometric vision models for camera calibration and pose refinement
- Integrate geometric algorithms with modern machine learning tools
- Collaborate with ML engineers to curate datasets and define success metrics
Work Experience
approx. 4 - 6 years
Education
Master's degree
Languages
English – Business Fluent
Tools & Technologies
PythonCUDA
Benefits
Healthcare & Fitness
- •Employer-paid supplemental medical benefits
- •Employer-paid vision benefits
Mental Health Support
- •Employer-paid mental health benefits
Other Benefits
- •Employer-paid dental benefits
More Vacation Days
- •Flexible paid vacation
- •Winter shutdown
- •11+ holidays per year
Generous Parental Leave
- •Paid parental leave
Additional Allowances
- •Equipment budget
- •Annual learning and development stipend
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Parallel Domain and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Parallel Domain
Industry
IT
Description
The company accelerates the safe development of autonomous systems through its synthetic data platform for AI-powered software.
Not a perfect match?
- Parallel Domain
Senior Machine Learning Engineer, Diffusion & Reconstruction(m/w/x)
Full-timeWith HomeofficeSeniorKarlsruhe - Parallel Domain
Machine Learning Data Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedKarlsruhe - Exxeta
Senior Data Scientist - Physical AI & Computer Vision(m/w/x)
Full-timeWith HomeofficeSeniorBerlin, Karlsruhe, Mannheim - VITRONIC
Senior Software Engineer Rust/ C++ (Computer Vision, ML, Linux)(m/w/x)
Full-timeWith HomeofficeSeniorBruchsal - esentri AG
Senior AI Engineer(m/w/x)
Full-timeWith HomeofficeSeniorEttlingen