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Deep Learning Scientist Jobs (NOW HIRING)

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

... Science, Machine Learning, or a related field (or equivalent experience) Preferred : • Experience in autonomous driving or ADAS is a plus -- background in perception pipelines, sensor fusion, or ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

As a Deep Learning Engineer, you will design, develop, and deploy deep learning systems for ... Computer Science, Machine Learning, or a related field (or equivalent experience) • We're a ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

As a Deep Learning Engineer, you will design, develop, and deploy deep learning systems for ... Computer Science, Machine Learning, or a related field (or equivalent experience) • We're a ...

Occulytics Inc.

Deep Learning Engineer

They are seeking a Deep Learning Engineer to build and deploy cutting-edge deep learning models ... data scientists, product managers, and domain experts to understand business requirements ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA

$140K - $220K/yr

Experience mentoring engineers and contributing to team technical culture Requirements * 2-7 years of experience in deep learning model optimization and deployment * BS+ in Computer Science, Machine ...

Matroid

Deep Learning Engineer

Palo Alto, CA

$170K - $300K/yr

Masters in Computer Science, Software Engineering, Mathematics, or equivalent * Passion for computer vision and deep learning; you are excited to adapt the latest multimodal LLMs, or implement a ...

Matroid

Deep Learning Engineer

Palo Alto, CA · On-site

$170K - $300K/yr

Masters in Computer Science, Software Engineering, Mathematics, or equivalent * Passion for computer vision and deep learning; you are excited to adapt the latest multimodal LLMs, or implement a ...

Matroid

Deep Learning Engineer

Palo Alto, CA · On-site

$170K - $300K/yr

Masters in Computer Science, Software Engineering, Mathematics, or equivalent * Passion for computer vision and deep learning; you are excited to adapt the latest multimodal LLMs, or implement a ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

$140K - $220K/yr

Experience mentoring engineers and contributing to team technical culture Requirements * 2-7 years of experience in deep learning model optimization and deployment * BS+ in Computer Science, Machine ...

Expedia

Senior Machine Learning Scientist

San Jose, CA · Remote

$107K - $146K/yr

Senior Machine Learning Scientist The Senior Machine Learning Scientist is responsible for building ... Applies deep expertise in applied ML, Generative AI, and rigorous experimentation to design robust ...

Nucs AI

Machine Learning Scientist

Berlin, MA · On-site +1

We're venture-backed, early-stage, and building a team that blends deep clinical expertise with ... The Opportunity Nucs AI is looking for a Machine Learning Scientist to deepen our ML research ...

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Showing results 21-40

All JobsDeep Learning Scientist Jobs

Deep Learning Scientist information

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$37.5K

$122.7K

$196.5K

How much do deep learning scientist jobs pay per year?

As of Aug 15, 2026, the average yearly pay for deep learning scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a deep learning scientist?

To thrive as a Deep Learning Scientist, you need a solid background in machine learning, statistics, and programming, often supported by an advanced degree in computer science or a related field. Familiarity with deep learning frameworks like TensorFlow or PyTorch, experience with cloud computing platforms, and proficiency in Python are typically required. Strong problem-solving skills, creativity, and the ability to communicate complex ideas clearly set outstanding candidates apart. These capabilities are essential for developing innovative AI solutions, interpreting results, and collaborating effectively in multidisciplinary teams.

What is the difference between Deep Learning Scientist vs Machine Learning Engineer?

AspectDeep Learning ScientistMachine Learning Engineer
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; strong background in deep learning frameworksBachelor's or Master's in Computer Science or related fields; proficiency in machine learning algorithms and software engineering
Work EnvironmentResearch-focused, experimental, often in R&D teamsDevelopment and deployment-focused, working on production systems
Employer & Industry UsageTech companies, research labs, AI startupsTech firms, finance, healthcare, and industries deploying ML models

While both roles involve machine learning, Deep Learning Scientists focus on developing advanced neural network models and research, whereas Machine Learning Engineers implement, optimize, and deploy these models in real-world applications.

What is a deep learning scientist?

Deep Learning Scientists are experts who design, develop, and implement advanced machine learning models inspired by the structure and function of the brain, known as artificial neural networks. They work with large datasets to train algorithms that can recognize patterns, make predictions, and solve complex problems in areas such as image recognition, natural language processing, and autonomous systems. Deep Learning Scientists often collaborate with software engineers, data scientists, and domain specialists to deploy models in real-world applications like healthcare, finance, and self-driving cars.

What are some typical challenges faced when working as a deep learning scientist, and how can they be addressed?

Deep Learning Scientists often encounter challenges such as managing large datasets, tuning complex model architectures, and ensuring reproducibility of experiments. Handling these issues requires strong skills in data preprocessing, familiarity with version control systems, and experience with frameworks like TensorFlow or PyTorch. Collaborating closely with cross-functional teams—including data engineers, software developers, and domain experts—can also help in overcoming technical and project-related obstacles. Continuous learning and staying updated with the latest research is essential to excel in this rapidly evolving field.
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What states have the most Deep Learning Scientist jobs?

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Deep Learning Scientist jobs near you
Infographic showing various Deep Learning Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Research Scientist, Efficient Deep Learning

NVIDIA

Santa Clara, CA • On-site

$115K - $147K/yr

Full-time

Re-posted 7 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 244 rated software companies

Job description

Job Summary:
NVIDIA is searching for an outstanding Senior Researcher working on efficient deep learning to join our learning and perception research team. The role involves researching, designing, and implementing novel methods for efficient deep learning while collaborating with internal and external teams and mentoring interns.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
• 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.
Preferred:
• Experience with large language models and large vision-language models is a plus.
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

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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