About The Team The Data Understanding team is responsible for creating the high quality datasets and their quantized representation for OpenAI. This includes synthesizing data, building VQ representations, and processing, filtering, deduplication, quality control, and tokenization so it can be used effectively in big model training runs. About The Role We're looking to advance how OpenAI builds and understands pretraining data at scale. You'll treat data quality and curation as core research problems: developing new methods to select, combine, and transform data; creating datasets that improve model capabilities; and designing rigorous experiments to understand how data choices and interventions affect model learning and downstream behavior. You'll work closely with frontier models and web-scale data to build evidence for which approaches work and why, then translate successful research into scalable data processing pipelines We Expect You To Have a strong track record of new or improved ML ideas, through publications, projects, or applied research. Own and drive a research agenda, from choosing the right problems to carrying long-running work through to impact. Be excited by OpenAI’s empirical, collaborative approach to research. Nice To Have Thoughtfulness about AI’s impact, including privacy, provenance, and data quality. Experience building high-performance deep learning or large-scale data processing systems. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer
Salary not disclosed
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Role overview
Job description
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Join NVIDIA's Nemotron Harness team. We are leaders in AI research, exploring machine learning, reinforcement learning, computer vision and natural language processing. As a Research Scientist, you will work on projects that seek to redefine general intelligence. This Zürich, Switzerland position offers an outstanding platform to participate in innovative research and impact the future of AI.
What you will be doing:
Conduct groundbreaking research to advance the science and technology of intelligent machines.
Co-develop models with harnesses, increasing task horizon, improving memory and general intelligence capabilities in VLM/LLM systems.
Work towards daring long-term research goals, while identifying and achieving immediate achievements.
Influence the research community through high-quality publications and collaborative efforts.
Open source high-quality code and ensure the reproducibility of your research.
What we need to see:
PhD or equivalent
6+ years of experience in Computer Science, relevant technical field, or similar, completed prior to joining NVIDIA.
Research background in machine learning, artificial intelligence, computational statistics, or applied mathematics.
A consistent track record of research publications demonstrating experience in theoretical or empirical research.
Proficiency in Python or similar programming languages for developing and debugging.
Expertise in analyzing and collecting data from various sources.
Ways to stand out from the crowd:
Experience in building and analyzing large-scale models for vision, language, speech, or general agents.
Established in guiding the development of AI research communities.
Prior experience with open-source projects.
Outstanding problem-solving skills and the ability to think creatively and collaboratively.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
What they are looking for
Skills & requirements
Qualification
Co-develop models with harnesses, increasing task horizon, improving memory and general intelligence capabilities in VLM/LLM systems; What we need to see: PhD or equivalent 6+ years of experience in Computer Science, relevant technical field, or similar, completed prior to joining NVIDIA
Hiring company
Nvidia
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