Applied Research Engineer - Dubbing Europe

SLAMcore; Deutschland; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Benefits dieser Stelle

Competitive compensation (salary + stock options)

25 days of annual leave + public holidays

Great company culture with social options

Zusammenfassung

SLAMcore seeks a Staff Research Engineer to join their innovative R&D team in Germany. You will tackle cutting-edge challenges in Generative AI, specifically in creating life-like Synthetic humans through text-to-video.

This role involves working on generative video creation, applying post-training optimization techniques, and enhancing model performance. A competitive salary, stock options, and a hybrid work setting with opportunities in various European cities are part of the offer.

Qualifikationen

• 3+ years of industry experience in Computer Vision or Computer Science.
• Knowledge of post-training techniques like distillation and adversarial networks.
• Experience with generative models for images/videos.

Aufgaben

• Apply DPO to pre-trained models.
• Adapt models to extend capabilities.
• Implement post-training optimization techniques.

Kenntnisse

Computer Vision

Python

Machine Learning

Deep Learning

Generative Models

Tools

Git

Jobbeschreibung

About the role

As a Staff Research Engineer you will join a team of 40+ Researchers and Engineers within the R&D Department working on cutting edge challenges in the Generative AI space, with a focus on creating highly realistic, emotional and life‑like Synthetic humans through text-to-video.

In this position you’ll join our Post‑Training Team that works on generative video creation. You will make it possible to apply our foundational models to production use cases.

• Apply DPO (direct preference optimisation) to pre‑trained models.
• Adapt models to extend their capabilities, for instance, by changing conditioning inputs.
• Build solutions for dubbing and evaluate the quality of lip‑sync.
• Implement post‑training optimization techniques, such as quantization, pruning and distillation, to improve the efficiency of diffusion models used in avatar generation.
• Analyze and address challenges related to model performance, ensuring high‑quality output in avatar rendering.
• Stay updated with the latest research and advancements in diffusion models, adversarial networks and post‑training optimization methods.

What we’re looking for

• You have a background in Computer Vision / Computer Science and 3+ years of industry experience.
• You have knowledge of recent advancements in post‑training techniques (for instance distillation, adversarial networks and efficient attention).
• You have worked with generative models for images and/or videos (Diffusion/GAN) preferably in the avatar domain.
• You are interested in doing research, trying new things and pushing the boundaries, going beyond what’s already known.
• You have experience in using most modern frameworks for machine learning and deep learning.
• You have great coding skills in Python and you care about writing clean code.
• You have experience with SDLC tools (Git), preferably CI/CD.

The good stuff

• Competitive compensation (salary + stock options)
• Hybrid work setting with an office in London, Amsterdam, Zurich, Munich, or remote in Europe.
• 25 days of annual leave + public holidays
• Great company culture with the option to join regular planning and socials at our hubs
• + other benefits depending on your location