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Senior Machine Learning Engineer, Diffusion & Reconstruction(m/w/x)
Description
As a Senior Machine Learning Engineer, you will focus on creating cutting-edge ML models for 3D reconstruction, optimizing performance, and collaborating with various engineering teams to deliver comprehensive solutions.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Advanced degree: MS or PhD in ML, computer vision, robotics, or related field
- •Deep ML expertise with deep learning frameworks and large model development
- •Strong engineering skills in production quality code
- •Experience with 3D vision or reconstruction and modern 3D representation learning
- •Generative model background with diffusion models or neural rendering
- •Hands-on experience in developing and deploying production-level machine learning models
- •Research background in video diffusion models, LoRA fine-tuning, or feed-forward reconstruction
- •Industry knowledge of autonomous systems landscape and machine learning applications
- •Publication record in top-tier conferences or journals related to machine learning
Education
Work Experience
approx. 4 - 6 years
Tasks
- •Design and implement video-to-video diffusion models
- •Develop efficient 4D feed-forward reconstruction methods
- •Optimize models and pipelines for large-scale Replica environments
- •Ship robust, documented ML components integrated with Replica tooling
- •Collaborate with simulation, rendering, and infrastructure engineers
Tools & Technologies
Languages
English – Business Fluent
Benefits
Purpose-Driven Work
- •Impactful work
Informal Culture
- •Collaborative culture
Career Advancement
- •Professional growth
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Senior Machine Learning Engineer, Diffusion & Reconstruction(m/w/x)
The AI Job Search Engine
Description
As a Senior Machine Learning Engineer, you will focus on creating cutting-edge ML models for 3D reconstruction, optimizing performance, and collaborating with various engineering teams to deliver comprehensive solutions.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Advanced degree: MS or PhD in ML, computer vision, robotics, or related field
- •Deep ML expertise with deep learning frameworks and large model development
- •Strong engineering skills in production quality code
- •Experience with 3D vision or reconstruction and modern 3D representation learning
- •Generative model background with diffusion models or neural rendering
- •Hands-on experience in developing and deploying production-level machine learning models
- •Research background in video diffusion models, LoRA fine-tuning, or feed-forward reconstruction
- •Industry knowledge of autonomous systems landscape and machine learning applications
- •Publication record in top-tier conferences or journals related to machine learning
Education
Work Experience
approx. 4 - 6 years
Tasks
- •Design and implement video-to-video diffusion models
- •Develop efficient 4D feed-forward reconstruction methods
- •Optimize models and pipelines for large-scale Replica environments
- •Ship robust, documented ML components integrated with Replica tooling
- •Collaborate with simulation, rendering, and infrastructure engineers
Tools & Technologies
Languages
English – Business Fluent
Benefits
Purpose-Driven Work
- •Impactful work
Informal Culture
- •Collaborative culture
Career Advancement
- •Professional growth
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.
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