> Markdown version of [/jobs/ext/614374-senior-scientist-synthetic-data-generation](https://www.wearedevelopers.com/jobs/ext/614374-senior-scientist-synthetic-data-generation). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Scientist, Synthetic Data Generation - **Company:** NVIDIA Ltd. - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $168,000.0 - $304,750.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Machine Learning, Software Maintenance, Software Engineering, Large Language Models, Information Technology, Free and Open-Source Software, Data Pipelines, Data Generation - **Published:** June 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=6ca341487331724a ## About the Role Do you have experience in Software engineering?, * PhD in Computer Science, Machine Learning, Statistics, or a related field, or equivalent experience. * A research background of 3+ years in synthetic data generation, generative modeling, multimodal machine learning, or related areas. Comparable experience is also considered. * Deep technical understanding of LLMs, how data shapes their pre- and post-training, and inference frameworks such as vLLM or TGI. * Proven track record of developing or maintaining software libraries used by a broad developer community. * Strong publication record at premier venues such as NeurIPS, ICML, ICLR, ACL or similar. Ways to stand out from the crowd: * Open-source contributions in ML or data tooling. * Experience with multimodal generation or understanding (vision-language, document AI, video, or audio). * Building and optimizing scalable data pipelines for large-scale model training (throughput, distributed inference). * Experience generating data for agentic, tool-use, or reinforcement-learning post-training. ## Related Videos - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Enhancing AI-based Robotics with Simulation Workflows](https://www.wearedevelopers.com/videos/472-enhancing-ai-based-robotics-with-simulation-workflows) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Your Next AI Needs 10,000 GPUs. Now What?](https://www.wearedevelopers.com/videos/1590-your-next-ai-needs-10-000-gpus-now-what) - [AI That Fits Your Business, Not the Other Way Around](https://www.wearedevelopers.com/videos/100148-ai-that-fits-your-business-not-the-other-way-around) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)