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Salaried Deep Learning Jobs (NOW HIRING)

PlusAI

Deep Learning Research Intern

Santa Clara, CA · On-site

$19 - $65/hr

... at least one deep learning framework (PyTorch, Tensorflow, Jax) $19 - $65 an hour Your ... Highly competitive salary and benefits package, including 401(k) plan. We may use artificial ...

Nvidia

Senior GPU Architect, Deep Learning

Austin, TX

We are now looking for a Senior GPU & Deep Learning Architect! The NVIDIA GPU Architecture group is ... Your base salary will be determined based on your location, experience, and the pay of employees in ...

PlusAI

Deep Learning Research Intern

Santa Clara, CA · On-site

$19 - $65/hr

... at least one deep learning framework (PyTorch, Tensorflow, Jax) $19 - $65 an hour Your ... Highly competitive salary and benefits package, including 401(k) plan. We may use artificial ...

E Ink

Deep Learning Researcher 1900S-2

Billerica, MA · Hybrid

$130K - $160K/yr

Develop and evaluate novel deep learning models for complex physical and chemical systems in ... Salary Range Disclosure : The annual base salary range for this position is $130,000 to $160,000 ...

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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 Jul 12, 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 $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior deep learning engineer or AI research director, often requiring advanced skills in machine learning frameworks, extensive experience, and sometimes leadership responsibilities. Such roles are usually found in large tech companies or specialized AI firms and may include bonuses, stock options, or other compensation components that contribute to the total salary package.

Which 3 jobs will survive AI?

Salaried deep learning roles such as AI researchers, data scientists, and machine learning engineers are likely to persist as they require advanced expertise, creativity, and domain-specific knowledge that AI tools currently cannot fully replicate. These positions involve designing, developing, and maintaining AI systems, often requiring specialized skills, programming languages, and continuous learning to adapt to evolving technologies.

What engineer makes $500,000 a year?

A senior deep learning engineer with extensive experience, specialized skills in neural networks, and advanced knowledge of frameworks like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or at top tech companies. Such roles often require advanced degrees, a strong portfolio, and leadership responsibilities in AI projects.

What profession makes $400,000 a year?

Salaried professionals in fields such as senior software engineers, specialized physicians, corporate executives, and certain data scientists can earn $400,000 or more annually. These roles typically require advanced skills, extensive experience, and often involve leadership responsibilities or specialized expertise in high-demand areas like deep learning or AI development.

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 July 2026, with employment types broken down into 73% Full Time, 25% Part Time, and 2% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $83,885 per year, or $40.3 per hour.

Senior Deep Learning Engineer - Perception

Imagry

San Jose, CA • On-site

$122K - $168K/yr

Full-time

Re-posted 19 days ago

Job description

Position: Senior Deep Learning Engineer - Perception

imagry.E4.E30@comeetapply.com

Location: San Jose, Ca On—Site

We are looking for a capable and experienced Sr. Deep Learning Engineer to join our R&D team.

The engineer will work on devising, developing, and integrating novel deep vision-based Perception algorithms at the heart of our autonomous driving system.

This is an opportunity to work on cutting-edge deep vision methods, develop and innovate new ideas, and see them deployed on the road in our autonomous vehicles.

Position reporting to the Perception Team Leader in San Jose.

Responsibilities:

Cooperate with SJ site Deep Learning Engineers, Safety Drivers & test engineers.

Work closely with deep learning engineers and tech leaders across the company, demonstrating flexibility and effective communication in a global, multi-time-zone environment.

Supervise complex data pipelines, from the collection stage, through annotation, to models training.

Design and optimize deep neural networks, involving innovative feature engineering.

Take an End-to End responsibility over medium to long-term projects

See projects through from research to deployment.

Devise and implement performance metrics.

Communicate, present and visualize results.

Align the algorithms with the product needs.

M.Sc. or equivalent work track experience in CS, EE, Physics, or other quantitative field from a leading university. Ph.D. – Advantage

A proven track record of at least 3 years hands-on experience in developing deep learning algorithms.

Experience and knowledge in computer vision and image processing algorithms, including classification, object detection, and/or semantic segmentation

In-depth, hands-on knowledge of deep learning fundamentals.

Hands-on experience with deep learning frameworks such as PyTorch.

Strong mathematical aptitude, with emphasis on probability, vector algebra, and geometry.

Proficiency in Python programming.

Experience in conducting long-term development and/or research projects, in either academia or industry.

Proficiency in English, both written and spoken.

Team player – fosters a positive and cooperative work environment by maintaining strong collaboration within the team and building productive relationships with other teams across the company

Eligible to work in the US

Skills that are considered an advantage:

Publications in top-tier journals or conferences on algorithms, computer vision, or deep learning

Basic proficiency in C++

Experience with Linux

Source control with git


Salary range: 170-190 K annually.

PandoLogic. Keywords: Machine Learning Engineer, Location: San Jose, CA - 95192

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