Level

NVIDIA

Research Scientist - New College Grad 2027

NVIDIA is hiring a Research Scientist - New College Grad 2027 in Yerevan, Armenia. Level rates it ; you can apply on Level.

Level's read on this job

  • Level rates this research scientist role Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include PyTorch, Python and Nemo.
  • Level files it as a mid-level role.
  • Level lists 2,700+ other open roles at NVIDIA.
  • The role was posted in the last few days.

AI in this role

Develop new deep learning models for conversational AI, language models for code, and mathematics reasoning at NVIDIA.

pytorchpythonnemo
deep-learningmachine-learningconversational-airesearch

NVIDIA's technology is at the heart of AI revolution, touching people across the planet by powering everything from self-driving cars, robotics, and voice-powered intelligent assistants! Join a diverse applied research team that is building a next generation of Conversational AI systems.


We work on new language models for code and mathematics reasoning. Our team crafted the math reasoning model which won the latest Kaggle  AI MO competition. We also develop algorithms to accelerate training large models on our GPU cloud. We release new models as part of NeMo - open-source toolkit for Conversational AI used by many companies for such applications as customer service, voice assistants, etc. We collaborate with research and product teams, as well as researchers from top academic machine learning labs.


What you'll be doing:

  • Develop new Deep Learning models for on new language models for code and mathematics reasoning,
  • Design new large scale training algorithm
  • Open-source models using NeMo conversational AI frameworks
  • Mentor interns
  • Publish research papers on top AI conferences
  • Collaborate with universities and research teams.

What we need to see:

  • PhD in Computer Science or Electrical Engineering with specialization in Deep Learning
  • 2+ years of research experience in Deep Learning theory  and applications
  • Excellent Python programming skills
  • Experience with PyTorch
  • Strong publications record in Deep Learning

Ways to stand out from the crowd:

  • Contribution to open-source projects
  • Being reviewers for one of the top speech conferences

NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology. We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all.

How we rate this

Research Scientist - New College Grad 2027 at NVIDIA rates 100 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Deep learningMachine learningConversational AIResearchPyTorchPythonNemo

Also common in research scientist jobs at this level

Pay

Typical research scientist job
$192k

This posting doesn't list pay. Use the typical research scientist figure when pay comes up. See research scientist jobs

Questions you could be asked

  1. Tell me about a project where deep learning was part of your work. What did you do?
  2. Tell me about a project where machine learning was part of your work. What did you do?
  3. Tell me about a project where conversational ai was part of your work. What did you do?
  4. Tell me about a project where research was part of your work. What did you do?
  5. Walk me through how you've used PyTorch in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Deep learning, Machine learning, Conversational AI, Research, and PyTorch. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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