Senior Machine Learning Engineer, Pose Estimation
Parallel Domain
full-time
Posted on:
Location Type: Hybrid
Location: Karlsruhe • Germany
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Job Level
Tech Stack
About the role
- Build robust SfM and pose pipelines: Improve accuracy, speed, and reliability of pose estimation components.
- Develop geometric vision models: Design and implement learned modules for camera calibration and pose refinement.
- Integrate ML and classical methods: Combine geometric algorithms with modern ML tools for practical performance.
- Collaborate on data and evaluation: Partner with ML engineers to curate datasets and define metrics for success.
Requirements
- Advanced degree: MS or PhD in ML, computer vision, robotics, or related field.
- Relevant experience: Industry experience applying ML to computer vision problems, with emphasis on pose or multiview geometry.** **
- Technical proficiency: Strong Python experience and production-level code development.
- Foundational knowledge: Deep understanding of 3D geometry, linear algebra, and optimization.
Benefits
- Competitive compensation
- Employer-paid supplemental medical, mental health, dental, and vision benefits.
- Flexible paid vacation, sick time, winter shutdown, and 11+ holidays per year
- Paid parental leave
- Equipment budget to optimize your setup
- Annual learning and development stipend
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Pythonmachine learningcomputer visionpose estimation3D geometrylinear algebraoptimizationgeometric algorithmscamera calibrationpose refinement
Soft skills
collaborationcommunication
Certifications
MSPhD