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Senior Deep Learning Data Scientist Jobs (NOW HIRING)

Nvidia Corporation

Senior Deep Learning Engineer

Redmond, WA · On-site

$62 - $79.75/hr

... establishing a data-driven approach to algorithmic improvements, hardware design and system ... Master's degree (or equivalent experience) in Computer Science, Artificial Intelligence, Applied ...

Targeted Talent

Senior Deep Learning Engineer

Austin, TX · On-site +1

$130K - $180K/yr

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus ... Bachelor's degree in Computer Science, Engineering, or related field * 5+ years of experience, with ...

NVIDIA

Senior Deep Learning Engineer

Redmond, WA

$62 - $79.75/hr

... establishing a data-driven approach to algorithmic improvements, hardware design and system ... Master's degree (or equivalent experience) in Computer Science, Artificial Intelligence, Applied ...

Nvidia

Senior Deep Learning Engineer

Santa Clara, CA · On-site

$65 - $83.75/hr

... establishing a data-driven approach to algorithmic improvements, hardware design and system ... Master's degree (or equivalent experience) in Computer Science, Artificial Intelligence, Applied ...

Nvidia

Senior Deep Learning Engineer

Redmond, WA · On-site

$62 - $79.75/hr

... establishing a data-driven approach to algorithmic improvements, hardware design and system ... Master's degree (or equivalent experience) in Computer Science, Artificial Intelligence, Applied ...

Rebar

Senior Deep Learning Engineer

New York, NY · On-site

$114K - $157K/yr

... data pipelines through to fine-tuned models - in a fast-moving startup context. This role is ideal ... Master's degree or PhD in Computer Science, Electrical Engineering, or other relevant field with ...

Imagry

Senior Deep Learning Engineer - Perception

San Jose, CA · On-site

$123K - $169K/yr

Senior Deep Learning Engineer, Computer Vision imagry.E4.E30@comeetapply.com Location: San Jose, CA ... Supervise complex data pipelines, from the collection stage, through annotation, to model training.

Rebar

Senior Deep Learning Engineer

Manhattan, NY

$115K - $158K/yr

... data pipelines through to fine-tuned models - in a fast-moving startup context. This role is ideal ... Master's degree or PhD in Computer Science, Electrical Engineering, or other relevant field with ...

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All JobsSenior Deep Learning Data Scientist Jobs

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 17, 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 Engineer

Senior Deep Learning Engineer

Nvidia Corporation

Redmond, WA • On-site

$62 - $79.75/hr

Full-time

Posted 15 days ago

Job description

We are now looking for a Senior Deep Learning Engineer! At NVIDIA, we are at the forefront of advancing the capabilities of artificial intelligence. We are seeking an ambitious and forward-thinking senior deep learning engineer to contribute to the development of next-generation inference optimizations targeting frontier workloads including multi-agent AI systems, generative multimodal models, and inference-time compute scaling. In this role, you will characterize these emerging workloads and develop novel methods to optimize for them across inferencing engines, systems, and hardware architectures. Your work will span multiple tiers of the inference stack from the algorithmic to system level.
As NVIDIA makes significant strides in AI datacenters, our team holds a central role in maximizing the efficiency of our exponentially growing inference deployment needs and establishing a data-driven approach to algorithmic improvements, hardware design and system software development. We collaborate extensively with diverse teams at NVIDIA, spanning deep learning research and framework development teams, to silicon architecture. Thriving in such a high-impact, interdisciplinary environment necessitates not only technical proficiency but also a growth mindset and a pragmatic attitude - qualities that fuel our collective success in shaping the future of datacenter technology.
What You'll Be Doing:
  • Continuously keeping up to date on the latest advancements in generative AI research.
  • Analyzing and prototyping emerging workloads in multi-agent AI systems, generative multimodal models, and inference-time compute scaling.
  • Pioneering and developing optimizations for these workloads across the inference stack to push the boundaries of inferencing quality and speed on NVIDIA systems.
  • Collaborating closely with production teams to incorporate the latest advancements into cutting-edge software frameworks.

What We Need to See:
  • Master's degree (or equivalent experience) in Computer Science, Artificial Intelligence, Applied Mathematics, or related fields.
  • A strong foundation in deep learning, with a particular emphasis on generative models and inferencing.
  • A track record of at least 5 years of relevant software development experience in modern deep learning frameworks such as PyTorch.
  • Growth mindset and pragmatic attitude.

Ways to Stand Out From the Crowd:
  • Published research or noteworthy contributions to the field of deep learning, particularly in areas such as inference-time compute, multimodal generation, AI systems, etc.
  • Experience with prototyping or deployment of agentic AI systems and/or multimodal generation models.
  • Experience with collaborating across algorithms, software and performance teams to deliver high quality solutions.
  • Familiarity with computer architecture and how it relates to AI algorithms development.

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 on the planet working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 31, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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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