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Senior Deep Learning Research Jobs (NOW HIRING)

Nvidia

Senior Deep Learning Software Engineer

Redmond, WA · Hybrid

$137K - $180K/yr

We are looking for a Senior Deep Learning Software Engineer to design and build our automated ... research and engineering, with a strong background in both machine learning fundamentals and ...

PlusAI

Deep Learning Research Intern

Santa Clara, CA

$19 - $65/hr

... deep learning framework (PyTorch, Tensorflow, Jax) $19 - $65 an hour Your opportunities joining PlusAI Work, learn and grow in a highly future-oriented, innovative and dynamic field. Wide range of ...

pony.ai

Research Intern - Deep Learning

Fremont, CA · On-site

$7.0K - $10K/mo

Experience with deep learning research and tools. * Proficiency in software design and development using Python and C++. * Experience working with large-scale datasets, data preprocessing, and ...

pony.ai

Research Intern - Deep Learning

Fremont, CA

$7.0K - $10K/mo

Experience with deep learning research and tools. * Proficiency in software design and development using Python and C++. * Experience working with large-scale datasets, data preprocessing, and ...

pony.ai

Research Intern - Deep Learning

Fremont, CA · On-site

$7.0K - $10K/mo

Experience with deep learning research and tools. * Proficiency in software design and development using Python and C++. * Experience working with large-scale datasets, data preprocessing, and ...

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All JobsSenior Deep Learning Research Jobs

Senior Deep Learning Research information

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$24K

$99K

$167K

How much do senior deep learning research jobs pay per year?

As of Jun 17, 2026, the average yearly pay for senior deep learning research in the United States is $99,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,000.00 and $107,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Deep Learning Research vs Data Scientist?

AspectSenior Deep Learning ResearchData Scientist
Required CredentialsAdvanced degrees in AI, ML, or related fields; strong research backgroundDegree in CS, Statistics, or related; often requires experience in data analysis
Work EnvironmentResearch labs, R&D teams, academic settingsBusiness analytics, product teams, data-driven departments
Employer & Industry UsageTech companies, research institutions, AI startupsFinance, healthcare, e-commerce, tech firms
Common Search & ComparisonFocus on advanced AI research and innovationFocus on data analysis and business insights

While both roles involve working with data, Senior Deep Learning Research primarily focuses on developing new AI models and algorithms, often in research settings. Data Scientists analyze data to generate insights and support business decisions. The roles overlap in data handling but differ in scope and objectives.

More about Senior Deep Learning Research jobs
What cities are hiring for Senior Deep Learning Research jobs? Cities with the most Senior Deep Learning Research job openings:
What are the most commonly searched types of Deep Learning Research jobs? The most popular types of Deep Learning Research jobs are:
What states have the most Senior Deep Learning Research jobs? States with the most job openings for Senior Deep Learning Research jobs include:
What job categories do people searching Senior Deep Learning Research jobs look for? The top searched job categories for Senior Deep Learning Research jobs are:
Senior Deep Learning Research jobs near you
Infographic showing various Senior Deep Learning Research job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $99,008 per year, or $47.6 per hour.
Senior Applied Deep Learning Research Scientist, Efficiency

Senior Applied Deep Learning Research Scientist, Efficiency

NVIDIA

Seattle, WA • On-site

$112K - $142K/yr

Full-time

Posted 12 days ago

Job description

Job Summary:
NVIDIA is seeking an Applied Deep Learning Research Scientist to join their ADLR – Efficiency team. The role focuses on improving deep learning efficiency through innovative algorithms, research on neural network architectures, and collaboration across various teams to optimize AI technologies.
Responsibilities:
• Research of low-bit number representations and pruning and their effect on neural network inference and training accuracy. This includes requirements by the existing state of art neural networks, as well as co-design of future neural network architectures and optimizers.
• Innovate with new algorithms to make deep learning more efficient while retaining accuracy, and open-source or publish these algorithms for the world to use.
• Run large-scale deep learning experiments to prove out ideas and analyze the effects of efficiency improvements.
• Collaborate across the company with teams making the hardware, software and deep learning architectures.
Qualifications:
Required:
• PhD degree in AI, computer science, computer engineering, math or a related field or equivalent experience in some of the areas listed below can substitute for an advanced degree.
• 5+ years of relevant industrial research experience.
• Familiarity with state-of-art neural network architectures, optimizers and LLM training.
• Experience with modern DL training frameworks and/or inference engines.
• Fluency in Python, and solid coding/software-engineering practices.
• A proven track-record in publications and/or the ability to run large-scale experiments.
• A strong interest in neural network efficiency.
Preferred:
• Experience in quantization, pruning, numerics and efficient architectures.
• A background in computer architecture.
• Experience with GPU computing, kernels, CUDA programming and/or performance analysis.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
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

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