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Senior Deep Learning Research Jobs (NOW HIRING)

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 · On-site

$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

Redmond, WA · On-site

$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 ...

Quid, Inc.

Staff Deep Learning Engineer

Columbia, MD · On-site

$185K - $235K/yr

Overview We are seeking a Staff Deep Learning Research Engineer to design, build, and train novel neural network architectures that solve hard problems across Quidient's GSR platform. This is not an ...

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 Corporation

$90K - $119K/yr

## Senior Deep Learning Software Engineer, InferenceApplylocations: US, CA, Remote: US, TX, Remote: US, NY, Remote: US, WA, Remote: US, MA, Remotetime type: Full timeposted on: Posted Yesterdayjob ...

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 ...

Quidient

Staff Deep Learning Engineer

Columbia, MD · On-site

$185K - $235K/yr

Overview We are seeking a Staff Deep Learning Research Engineer to design, build, and train novel neural network architectures that solve hard problems across Quidient's GSR platform. This is not an ...

Quidient

Staff Deep Learning Engineer

Columbia, MD · On-site

$185K - $235K/yr

Overview We are seeking a Staff Deep Learning Research Engineer to design, build, and train novel neural network architectures that solve hard problems across Quidient's GSR platform. This is not an ...

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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 Sep 11, 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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $99,008 per year, or $47.6 per hour.

Deep Learning Scientist - eFinancialCareers

Manhattan, NY • On-site

eFinancialCareers
See more jobs at eFinancialCareersexternal

Full-time

Re-posted 25 days ago

Job description

Are you ready to be at the forefront of deep learning research? Our growth-stage company, fresh from securing significant investment, is on the lookout for an exceptionally talented Deep Learning Scientist. This is a rare chance to join one of the most innovative AI labs in the industry, where machine learning and deep learning are not just part of our strategy but the heart of our success.

What We Offer:

  1. A Cutting-Edge Environment: Dive into a workplace that embodies the cutting edge of AI research, offering unparalleled freedom and resources to explore and implement DL & ML technologies.
  2. Autonomy and Influence: You will have the autonomy to shape the direction of our AI initiatives, deciding 'how and when to apply DL & ML research' to drive our business forward.
  3. Collaboration with Industry Leaders: Work alongside some of the world's most respected professionals in AI, in an environment that thrives on collaboration and the entrepreneurial spirit.
  4. Impactful Work: Your work will not only push the boundaries of AI but also have a tangible impact across various units within our business, thanks to your engagement with key stakeholders.

Who We Are Seeking:

  1. An Expert in Deep Learning Research: Demonstrates a consistent history of outstanding research, including experience with transition models and sequence-to-sequence architecture; proficiency in reinforcement learning and deep neural network concepts is essential to bring value.
  2. A Champion of Collaboration: Exudes enthusiasm for cooperative work, eager to exchange knowledge and grow alongside some of the sector's brightest.

Apply