Research Scientist, AI RL and LLMs

Remote, the UK·Added 1 month ago

NVIDIA

61 open roles

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Overview

Job details

Fully remote
Only from certain places, per the ad: “Remote - UK; Switzerland, Zurich”

Requirements

Have 6+ years of experience
Mid-level role.

Skills

The role

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/

Hiring process

3 steps2 interviewsa matter of weeks from the first interview in all

Search and apply
Phone interviews
Phone call
Full-time candidates typically start with phone interviews.
Virtual or in-person interviews
With hiring manager, team members and employees from other groups · 30–60 min
One-on-one, small-group or panel interviews with the hiring manager, team members and people from other groups; an onsite in-person interview at an office is required before an offer.
Insider Chat
With a community resource group member · 15 min · Not every role
An optional 15-minute conversation with a community resource group member that does not influence the hiring decision.
Decision and offer

Applicants selected to move forward hear from recruiting within a couple of weeks.
Most candidates have a decision within weeks of their first interview.
Technical candidates may complete coding exercises on HackerRank.