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Senior Deep Learning Research Jobs (NOW HIRING)

PlusAI

Deep Learning Research Intern

Santa Clara, CA · On-site

$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 ...

Nvidia

Senior Deep Learning Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

... research experience in performance analysis and compiler optimizations. * Ability to work ... MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as ...

Nvidia

Senior Deep Learning Compiler Engineer

Redmond, WA

$117K - $160K/yr

... research experience in performance analysis and compiler optimizations. * Ability to work ... MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as ...

Nvidia

Senior Deep Learning Compiler Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

... research experience in performance analysis and compiler optimizations. * Ability to work ... MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as ...

NVIDIA

Senior Deep Learning Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

They are seeking a Deep Learning Compiler Engineer to analyze deep learning networks and develop ... research experience in performance analysis and compiler optimizations • Ability to work ...

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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 18, 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:
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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.
Deep Learning Research Intern

Deep Learning Research Intern

PlusAI

Santa Clara, CA • On-site

$19 - $65/hr

Internship

Vision, Retirement

Posted 27 days ago

Job description

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World's Most Innovative Companies. Partners including TRATON GROUP's Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you're ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.
At Plus, we are pioneering the next generation of autonomous driving (AV 2.0) by replacing hyper-complex legacy stacks with end-to-end Physical AI models. Our SuperDrive™ virtual driver software powers fully autonomous Level 4 semi-trucks, navigating multi-lane highways, complex construction zones, and unpredictable night-driving scenarios.
This summer, you will join our core AI team to work on the frontier of autonomous decision-making: Vision-Language models. You will use vision language models to generate meta actions for strategic decision making. Your project will also focus on designing and implementing advanced knowledge distillation and compression techniques to transition large models for on-board compute usage.
Responsibilities
  • Work on Vision Language Action models in support of Plus's reasoning layer for on-board strategic decision making. Develop distillation technques for deployment on on-board compute.

Required Skills:
  • Pursuing MS or PhD in CS, EE, mathematics, statistics or related field
  • Thorough understanding of state-of-the-art vision language/vision language action models, diffusion, flow matching and transformers.
  • 1-2 years experience with implementing and training models in at least one 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 opportunities for personal and professional development.
Catered free lunch, unlimited snacks and beverages.
Highly competitive salary and benefits package, including 401(k) plan.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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