Research Scientist, AI RL and LLMs

Posted 4 Days Ago
Be an Early Applicant
Hiring Remotely in Zürich, CHE
In-Office or Remote
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Conduct advanced AI research in reinforcement learning, computer vision, and language models. Develop model harnesses to improve task horizons, memory, and general intelligence in VLM and LLM systems. Pursue long-term research goals, publish findings, open-source reproducible code, analyze data, and collaborate with the research community.
Summary Generated by Built In

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/ 

Skills Required

  • PhD or equivalent
  • 6+ years of experience in Computer Science, a relevant technical field, or similar
  • Research background in machine learning, artificial intelligence, computational statistics, or applied mathematics
  • Consistent track record of research publications demonstrating theoretical or empirical research experience
  • Proficiency in Python or similar programming languages for development and debugging
  • Expertise in analyzing and collecting data from various sources
  • Experience building and analyzing large-scale models for vision, language, speech, or general agents
  • Experience guiding the development of AI research communities
  • Prior experience with open-source projects
  • Outstanding problem-solving skills and ability to think creatively and collaboratively

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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