Senior Machine Learning Engineer, Diffusion & Reconstruction

Parallel Domain; Karlsruhe; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A technology company specializing in machine learning is seeking a Senior Machine Learning Engineer in Karlsruhe, Germany. In this role, you'll develop innovative ML models for 3D reconstruction and improve scalability for production systems. Ideal candidates have a strong academic background in machine learning or computer vision, deep expertise in ML frameworks like PyTorch, and a passion for advancing autonomous systems. The company offers competitive compensation, a collaborative culture, and opportunities for professional growth.

Leistungen

Competitive compensation

Impactful work

Collaborative culture

Professional growth opportunities

Qualifikationen

• Advanced degree (MS or PhD) in machine learning or related field.
• Deep expertise in machine learning and deep learning frameworks.
• Experience in developing and deploying production-level machine learning models.
• Strong engineering skills to convert ML prototypes into production-ready code.

Aufgaben

• Design and implement innovative ML models for video-to-video diffusion.
• Optimize models for large-scale production environments.
• Collaborate with cross-functional teams to integrate ML models.

Kenntnisse

Deep learning frameworks

3D vision or reconstruction

Machine learning prototypes to production

Generative models

Ausbildung

MS or PhD in ML, computer vision, robotics, or related field

Tools

PyTorch

Jobbeschreibung

About the role:

We are seeking a Senior Machine Learning Engineer to advance the state of learned reconstruction for Replica. In this role, you will drive development of feed-forward and diffusion-based models for 3D and spatiotemporal reconstruction and work closely with cross-functional teams to integrate these models into production systems.

What you'll do:

• Develop innovative ML models: Design and implement video-to-video diffusion models and efficient 4D feed-forward reconstruction methods.
• Improve scalability and performance: Optimize models and pipelines to support large-scale Replica environments.
• Productionize research: Ship robust, documented ML components integrated with Replica tooling.
• Collaborate cross-functionally: Engage with simulation, rendering, and infrastructure engineers to deliver end-to-end solutions.

What you’ll bring:

• Advanced degree: MS or PhD in ML, computer vision, robotics, or related field.
• Deep ML expertise: Experience with deep learning frameworks (e.g., PyTorch) and large model development.
• Strong engineering skills: Experience taking ML prototypes into production quality code.
• Experience with 3D vision or reconstruction: Demonstrated knowledge of modern 3D representation learning.
• Generative model background: Experience with diffusion models or neural rendering.

What will help you stand out:

• Hands-on experience: Demonstrated experience in developing and deploying production-level machine learning models.
• Research background: Familiarity with academic research in video diffusion models, LoRA fine-tuning, or feed-forward reconstruction.
• Industry knowledge: Understanding of the autonomous systems landscape and the potential applications of machine learning in this domain.
• Publication record: Publications in top-tier conferences or journals related to machine learning.

What we offer:

• Competitive compensation: Dependent on your skills, qualifications, experience, and location.
• Impactful work: The chance to contribute to the advancement of autonomous systems and AI.
• Collaborative culture: A dynamic and supportive work environment where your ideas are valued.
• Professional growth: Opportunities to learn and develop your skills in a cutting-edge field.

If you're passionate about machine learning, 3D reconstruction, generative AI, and the future of autonomous systems, we'd love to hear from you. Apply today and help us revolutionize the world of spatial AI!

This position is available in Vancouver, BC and Karlsruhe, DE.