
Senior Applied Deep Learning Scientist - Large Vision Language Models - NVIDIA
Deep Learning Scientist
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Job Description
We are looking for a highly motivated Senior Applied Deep Learning Scientist with a passion for multimodal language models. Join our world-class NVIDIA team, spanning Finland, Germany, the Netherlands, and the USA, behind pioneering work such as Megatron-Energon, Nemotron 3 Nano Omni and our latest post-training datasets! As a core contributor to NVIDIA’s Nemotron multimodal initiative, we are pushing the frontiers of state-of-the-art open-source multimodal models. We have a unique perspective in that we strive for open models, open weights, open data. Our mission is straightforward: create models that perform exceptionally in real-world applications right out of the box, while empowering and advancing the broader multimodal LLM ecosystem. As an applied research group, we prioritize delivering tangible impact and solving real-world problems. We’re most excited when deep learning moves beyond theory into production at scale. If you share a pragmatic, delivery-focused perspective and care about turning research into reality, this team will feel like the right home! What you will be doing: Push the boundaries of the NVIDIA Nemotron Omni family of models to enable powerful downstream applications, including document intelligence, mathematical reasoning, multi-turn multimodal dialogue systems, and advanced software & agentic assistants. The role spans the full pipeline, from pre-training through post-training. Help us prepare large-scale multimodal datasets to train cutting-edge foundation models across text, image, audio and video. This includes developing robust data processing pipelines to curate high-quality training data, augmenting it, synthetically generating labels and providing the infrastructure to load and serve data in real time. Collaborate globally with other team members, researchers and developers from different departments at NVIDIA and AI startups we work with, to turn research and innovations into impactful products.
Company Information
| Location | Active listings |
|---|---|
| Remote - Finland | 5 |
| Helsinki, Finland | 5 |
| Finland, Remote | 4 |
| UK, Remote | 3 |
| Remote - Poland | 2 |
| Remote - Germany | 2 |
| Remote - Global | 2 |
| France, Remote | 2 |
| Remote - Switzerland | 2 |
| Gothenburg, Sweden | 2 |
| Sweden, Remote | 2 |
| Spain, Remote | 1 |
| Zurich, Switzerland | 1 |
| Poland, Remote | 1 |
| Remote - Denmark | 1 |
| Munich, Germany | 1 |
| Remote - Spain | 1 |
| Remote - UK | 1 |
| Netherlands, Remote | 1 |
| Germany, Remote | 1 |
| Switzerland, Zurich | 1 |
| Amsterdam, Netherlands | 1 |
| Role type | Active listings |
|---|---|
| Software Engineer | 6 |
| Research Intern | 1 |
| Account Manager | 1 |
| Solutions Architect | 1 |
| Deep Learning Compiler Engineer | 1 |
| System Software Manager | 1 |
| Systems Engineer | 1 |
| Partner Solutions Architect | 1 |
| Solution Architect | 1 |
| Software Architect | 1 |
| Role level | Active listings |
|---|---|
| Senior | 7 |
| Mid-Level | 5 |
| Intern | 1 |
| Manager | 1 |
NVIDIA appears in 42 indexed job postings in JobCrawls' Finland dataset since April 2024. In that historical index, the strongest location signals for this employer are Remote - Finland, Helsinki, Finland, and Finland, Remote.
Data shown is based on historical job postings from our database.
Job Details
Responsibilities
- Push the boundaries of NVIDIA Nemotron Omni models
- Prepare large-scale multimodal datasets
- Develop data processing pipelines
- Collaborate globally with team members
Requirements
- M.Sc. or Ph.D. in Computer science or related field
- 10+ years of industry experience in computer vision
- Strong understanding of LLMs/VLMs
- Hands-on coding skills with PyTorch and Python
- Experience with multi-GPU training, Docker, Linux
Skills & Technologies
Education Level
None required