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Salaried Deep Learning Jobs (NOW HIRING)

Nvidia Corporation

Senior Deep Learning Engineer

Redmond, WA · On-site

$62 - $79.75/hr

We are now looking for a Senior Deep Learning Engineer! At NVIDIA, we are at the forefront of ... Your base salary will be determined based on your location, experience, and the pay of employees in ...

Rebar

Senior Deep Learning Engineer

Manhattan, NY

$115K - $158K/yr

We're looking for a Senior Deep Learning Engineer with extensive experience in modern neural ... Salary : Competitive * Equity : Meaningful equity package, commensurate with experience * Benefits

Skydio, Inc

Autonomy Engineer - Deep Learning

San Mateo, CA · On-site

$170K - $277K/yr

As a Deep Learning Engineer, you will be responsible for training and deploying optimized models to ... The annual base salary range for this position is $170,000 - 277,500*. Fundamentally, we believe ...

Skydio

Autonomy Engineer - Deep Learning

San Mateo, CA

$170K - $277K/yr

As a Deep Learning Engineer, you will be responsible for training and deploying optimized models to ... The annual base salary range for this position is $170,000 - 277,500*. Fundamentally, we believe ...

Nvidia

Senior Deep Learning Engineer

Redmond, WA · On-site

$62 - $79.75/hr

We are now looking for a Senior Deep Learning Engineer!At NVIDIA, we are at the forefront of ... Your base salary will be determined based on your location, experience, and the pay of employees in ...

Nvidia

Senior Deep Learning Engineer

Santa Clara, CA · On-site

$65 - $83.75/hr

We are now looking for a Senior Deep Learning Engineer!At NVIDIA, we are at the forefront of ... Your base salary will be determined based on your location, experience, and the pay of employees in ...

Nvidia

Senior Deep Learning Compiler Engineer

Austin, TX

$103K - $142K/yr

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered ... Deep Learning and Autonomous Vehicles. Your base salary will be determined based on your location ...

Nvidia

Senior Deep Learning Compiler Engineer

Redmond, WA

$117K - $160K/yr

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered ... Deep Learning and Autonomous Vehicles. Your base salary will be determined based on your location ...

Nvidia

Senior Deep Learning Compiler Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered ... Deep Learning and Autonomous Vehicles. Your base salary will be determined based on your location ...

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All JobsSalaried Deep Learning Jobs

Salaried Deep Learning information

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$11K

$83.9K

$140K

How much do salaried deep learning jobs pay per year?

As of Jun 21, 2026, the average yearly pay for salaried deep learning in the United States is $83,885.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,000.00 and $139,000.00 per year, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior deep learning researcher or executive, often requiring advanced skills in machine learning, extensive experience, and sometimes leadership responsibilities. Such roles may involve overseeing AI projects, developing innovative models, and utilizing tools like TensorFlow or PyTorch, with compensation reflecting expertise and impact in the field.

What jobs pay $500,000 a year in the US?

In the US, highly specialized roles such as senior AI researchers, machine learning executives, and data science directors in deep learning can reach or exceed $500,000 annually, especially with bonuses and stock options. These positions typically require advanced degrees, extensive experience, and expertise in deep learning frameworks, large-scale data handling, and programming skills. Compensation varies by industry, company size, and geographic location, with top-tier tech firms and finance companies offering the highest salaries.

What job makes $10,000 a month without a degree?

A salaried deep learning engineer can earn $10,000 or more per month by developing AI models, often requiring strong programming skills in Python, experience with machine learning frameworks, and a solid understanding of neural networks. Such roles are typically found in tech companies, research labs, or startups and may not require a formal degree if the candidate demonstrates expertise through portfolio work or certifications.

What profession makes $400,000 a year?

In the field of salaried deep learning, senior roles such as AI research directors, machine learning executives, or highly experienced data scientists can earn $400,000 or more annually, especially in large tech companies or specialized industries. These positions typically require advanced degrees, extensive experience, and expertise in deep learning frameworks, programming, and large-scale data handling.

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

AspectSalaried Deep LearningSalaried Machine Learning Engineer
Required CredentialsMaster's or PhD in Computer Science, AI, or related fields; experience with neural networksMaster's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentResearch labs, AI startups, tech companies focusing on neural network modelsTech companies, data-driven firms, AI product development teams
Employer & Industry UsagePrimarily in AI research, academia, and companies developing deep learning modelsAcross industries like finance, healthcare, and e-commerce implementing ML solutions

While both roles involve machine learning, Salaried Deep Learning specialists focus on neural network architectures and AI research, whereas Salaried Machine Learning Engineers work on broader ML applications and deployment across various industries.

More about Salaried Deep Learning jobs
What cities are hiring for Salaried Deep Learning jobs? Cities with the most Salaried Deep Learning job openings:
What are the most commonly searched types of Deep Learning jobs? The most popular types of Deep Learning jobs are:
What states have the most Salaried Deep Learning jobs? States with the most job openings for Salaried Deep Learning jobs include:
What job categories do people searching Salaried Deep Learning jobs look for? The top searched job categories for Salaried Deep Learning jobs are:
Salaried Deep Learning jobs near you
Infographic showing various Salaried Deep Learning job openings in the United States as of June 2026, with employment types broken down into 22% Full Time, 72% Part Time, 2% Temporary, and 4% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $83,885 per year, or $40.3 per hour.
Senior Deep Learning Engineer

Senior Deep Learning Engineer

Nvidia Corporation

Redmond, WA • On-site

$62 - $79.75/hr

Full-time

Posted 19 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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