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Senior Deep Learning Data Scientist Jobs (NOW HIRING)

Cogitativo, Inc.

Senior Data Scientist

Berkeley, CA · On-site

$160K - $200K/yr

... deep learning and machine learning to extract insights from one of the richest data sets in the ... for the Senior Clinical Data Scientist roles. • At least 4 years of experience working with ...

Nvidia

Senior Deep Learning Performance Architect

Austin, TX · On-site

$165K/yr

We are now looking for a Senior Deep Learning Performance Architect! NVIDIA is seeking outstanding ... MS or PhD in a relevant discipline (Computer Science, Electrical Engineering, Computer Engineering ...

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Senior Deep Learning Data Scientist information

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$41.5K

$142.5K

$201K

How much do senior deep learning data scientist jobs pay per year?

As of Jun 22, 2026, the average yearly pay for senior deep learning data scientist in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

How do Senior Deep Learning Data Scientists typically collaborate with cross-functional teams during a project?

Senior Deep Learning Data Scientists frequently work alongside data engineers, software developers, and domain experts to deliver end-to-end machine learning solutions. They are responsible for translating complex business problems into data-driven approaches, ensuring that models are aligned with project objectives. Regular meetings, code reviews, and knowledge-sharing sessions are common to synchronize efforts and integrate models into production systems smoothly. This collaboration is critical for maintaining model performance and scalability, and it also helps bridge the gap between technical and non-technical stakeholders.

What are the key skills and qualifications needed to thrive as a Senior Deep Learning Data Scientist, and why are they important?

To thrive as a Senior Deep Learning Data Scientist, you need advanced knowledge in machine learning, deep learning frameworks, statistical analysis, and a relevant degree such as a master's or PhD in computer science or a related field. Expertise in programming languages like Python, experience with TensorFlow or PyTorch, and familiarity with cloud platforms are typically required, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, collaboration, and effective communication help you lead projects and translate complex findings to stakeholders. These skills are essential to drive innovation, build impactful models, and ensure projects deliver business value in a rapidly evolving field.

What does a Senior Deep Learning Data Scientist do?

A Senior Deep Learning Data Scientist designs, develops, and implements advanced deep learning models to solve complex problems in areas such as computer vision, natural language processing, and predictive analytics. They lead data-driven projects, collaborate with cross-functional teams, and mentor junior data scientists. In addition to building and optimizing neural networks, they are responsible for interpreting data, refining algorithms, and ensuring the solutions are scalable and robust for real-world applications.

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

AspectSenior Deep Learning Data ScientistMachine Learning Engineer
Required CredentialsAdvanced degree in CS, Data Science, or related field; experience in deep learning frameworksDegree in CS, Software Engineering, or related; strong programming skills in Python, Java, or C++
Work EnvironmentResearch-focused, data analysis, model development, experimentationDeployment, system integration, scalable model production
Employer & Industry UsageTech companies, research labs, AI startupsTech firms, SaaS companies, AI product development

The main difference is that Senior Deep Learning Data Scientists focus on developing and researching deep learning models, while Machine Learning Engineers primarily implement, optimize, and deploy these models into production systems. Both roles require strong technical skills, but their day-to-day tasks and focus areas differ.

More about Senior Deep Learning Data Scientist jobs
What cities are hiring for Senior Deep Learning Data Scientist jobs? Cities with the most Senior Deep Learning Data Scientist job openings:
What states have the most Senior Deep Learning Data Scientist jobs? States with the most job openings for Senior Deep Learning Data Scientist jobs include:
What job categories do people searching Senior Deep Learning Data Scientist jobs look for? The top searched job categories for Senior Deep Learning Data Scientist jobs are:
Senior Deep Learning Data Scientist jobs near you
Infographic showing various Senior Deep Learning Data Scientist job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.
Senior Deep Learning Computer Architect

Senior Deep Learning Computer Architect

Nvidia

Redmond, WA • Hybrid

Full-time

Posted 27 days ago

Job description

We are now looking for a Senior Deep Learning Computer Architect!NVIDIA is seeking architects like you to help design hardware accelerator and processor architectures that enable state of the art machine learning and data analytics algorithms and applications on our next-generation mobile, embedded and datacenter platforms. This position offers you the opportunity to have a real impact in a dynamic, technology-focused company.

What you'll be doing:

  • As a member of our deep learning architecture team, you will contribute to features that help next-generation GPUs advance the state of AI.

  • This position requires you to keep up with the latest DL research and collaborate with diverse teams (internal and external to NVIDIA), including DL researchers, hardware architects, and software engineers.

  • Your day to day work will include analyzing the behavior of various deep learning methods, proposing new features to accelerate or enable various methods, and studying the benefits of the proposed features.

What we need to see:

  • MS or PhD degree in computer science, computer architecture, electrical engineering or related field or equivalent experience.

  • 5+ years of relevant experience in at least a few of the following relevant areas is required in your work history:

    • Computer architecture, including GPU and system level architecture;

    • Performance analysis and optimization;

    • Experience with LLMworkloads, including performance tuning considerations such as parallelization and fusion strategies;`

    • Experience with core deep learning kernels such as matrix multiply, attention, and communication convolution

  • Programming fluency with C++ and ideally Python

  • Experience with GPU computing (CUDA)

  • Experience with deep learning frameworks like PyTorch

Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time. The era of AI has begun. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you! Come, join our DL Architecture team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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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