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Full Time Deep Learning Research Jobs (NOW HIRING)

Deep Learning Engineer

Palo Alto, CA · On-site

$170K - $300K/yr

Keep on top of the latest developments and research in academic CV/DL and decide how we should ... Passion for computer vision and deep learning; you are excited to adapt the latest multimodal LLMs ...

Research, develop, implement, and evaluate new machine learning techniques for multiple ... scale deep learning models and experiments. * Experience in working with diverse teams to solve ...

Research, develop, implement, and evaluate new machine learning techniques for multiple ... scale deep learning models and experiments. * Experience in working with diverse teams to solve ...

Research, develop, implement, and evaluate new machine learning techniques for multiple ... scale deep learning models and experiments. * Experience in working with diverse teams to solve ...

Research Scientist

Redwood City, CA · On-site

$180K - $300K/yr

This role requires strong scientific judgment, fluency with the deep learning literature, and the drive to work autonomously in a fast-moving startup environment. What You'll Work On * The research ...

They are seeking a Deep Learning Engineer to implement algorithms that integrate computer vision ... Proven experience as a DL Engineer or Applied Research Engineer in a fast-paced environment. • ...

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Full Time Deep Learning Research information

What cities are hiring for Full Time Deep Learning Research jobs? Cities with the most Full Time Deep Learning Research job openings:
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Infographic showing various Full Time Deep Learning Research job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 25% Part Time, and 2% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution.
Senior Research Scientist, Efficient Deep Learning

Senior Research Scientist, Efficient Deep Learning

Nvidia Corporation

Santa Clara, CA • On-site

$115K - $147K/yr

Full-time

Posted 28 days ago


Job description

NVIDIA is searching for an outstanding Senior Researcher working on efficient deep learning to join our learning and perception research team. We are passionate about research that pushes boundaries but also has impact in the real world. We are particularly excited about methods for post-training model optimization (pruning, quantization, NAS), efficient architecture design, adaptive/dynamic inference, resource-efficient training and fine-tuning, and so forth. You will work within an amazing and collaborative research team that consistently publishes at the top venues in computer vision and machine learning. Our existing expertise includes computer vision, deep learning, generative models, and so forth. Your contributions have the chance to create real impact on our products.
What you'll be doing:
  • Research, design and implement novel methods for efficient deep learning.
  • Publish original research. Speak at conferences and events.
  • Collaborate on research with internal team members, internal teams as well as external researchers. Mentor interns.
  • Work with product groups to transfer technology.

What we need to see:
  • A Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or equivalent experience in industrial research labs.
  • 3+ years or relevant post-graduate research experience
  • Excellent knowledge of theory and practice of computer vision methods, as well as deep learning.
  • A background in pruning, quantization, NAS, efficient backbones is required.
  • Experience with large language models and large vision-language models is a plus.
  • Excellent programming skills in Python and PyTorch; C++ and parallel programming (e.g., CUDA).
  • Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required.
  • An outstanding research track record and strong communications skills.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world working for us. If you're creative and collaborative researcher, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until January 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993