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

As of Aug 21, 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.

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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 August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $99,008 per year, or $47.6 per hour.

Senior Deep Learning Engineering - Autonomous Vehicles

NVIDIA

Redmond, WA • On-site

$117K - $160K/yr

Full-time

Re-posted 8 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies

Job description

Job Summary:
NVIDIA has been transforming computer graphics and accelerated computing for more than 25 years, and they are seeking a Senior Deep Learning Engineer to develop systems and algorithms for autonomous vehicles. This role involves collaborating with researchers and software engineers to integrate AI models from training to production, focusing on large language models and vision-language models.
Responsibilities:
• Explore SOTA LLM/VLM models for search and classification of AV scenarios
• Hands on model developments such as fine-tuning large LLM/VLMs for internal use cases
• Collaborate with software engineers and researchers to ensure seamless integration of models from training to deployment.
Qualifications:
Required:
• Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field (or equivalent experience)
• 10+ years of professional experience in deep learning or applied machine learning.
• Strong foundation in deep learning algorithms, including hands-on experience with LLMs and VLMs
• Deep understanding of general transformer architectures, inference bottlenecks, and popular model architectures such Qwen family.
• Proficient in building and deploying models using PyTorch in production-grade environments.
• Solid programming skills in Python
Preferred:
• Proven experience deploying LLMs or VLMs at scale in real-world applications using vLLM, SGLang.
• Hands-on experience with SFT, DPO, GRPO techniques for fine-tuning
• Proven experience in developing image and video search solutions at scale.
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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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