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Deep Learning Jobs (NOW HIRING)

Matroid

Deep Learning Field Engineer

Palo Alto, CA · On-site

$150K - $300K/yr

We're looking for a Deep Learning Field Engineer to operate at the forefront of CV deployment in industry - building best-in-class CV systems that leverage deep learning techniques to solve a broad ...

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

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Hayden AI

Staff Deep Learning Engineer

San Francisco, CA · On-site

$230K - $299K/yr

The Deep learning team's work is at the crux of Hayden AI's solutions to its customers. The team is responsible for building and maintaining advanced models that are able to perceive the world and ...

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Matroid

Deep Learning Field Engineer

Palo Alto, CA · Hybrid

$150K - $300K/yr

We're looking for a Deep Learning Field Engineer to operate at the forefront of CV deployment in industry - building best-in-class CV systems that leverage deep learning techniques to solve a broad ...

NBCUniversal

Senior Deep Learning Engineer

$107K - $146K/yr

They are seeking a Senior Deep Learning Engineer to implement core algorithms at the intersection of computer vision and graphics, working with large media datasets to create high-fidelity content.

PlusAI

Deep Learning Research Intern

Santa Clara, CA · On-site

$19 - $65/hr

... deep learning framework (PyTorch, Tensorflow, Jax) $19 - $65 an hour Your opportunities joining PlusAI Work, learn and grow in a highly future-oriented, innovative and dynamic field. Wide range of ...

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How much do deep learning jobs pay per year?

As of Jul 3, 2026, the average yearly pay for 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.

Which 3 jobs will survive AI?

Deep learning professionals, data scientists, and AI ethics specialists are likely to continue thriving as AI advances, due to their specialized skills in developing, managing, and overseeing AI systems. These roles require critical thinking, domain expertise, and ongoing learning to adapt to evolving technologies. Skills in programming, machine learning frameworks, and ethical considerations will remain valuable in the AI-driven job market.

What jobs use deep learning?

Jobs that use deep learning include roles such as machine learning engineer, data scientist, AI researcher, and computer vision engineer. These positions typically require skills in programming, neural networks, and frameworks like TensorFlow or PyTorch, and are common in technology, healthcare, automotive, and finance industries.

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 machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience and impact. Such salaries are rare and generally found in top tech companies or specialized AI firms.

What are the typical daily responsibilities of a Deep Learning professional?

As a Deep Learning professional, your day-to-day tasks often include designing and training neural network models, preprocessing and analyzing large datasets, and evaluating model performance using various metrics. You may also participate in research activities, document your results, and collaborate with data scientists, engineers, or product teams to deploy machine learning solutions. Regular meetings for project updates, code reviews, and brainstorming sessions are common, as is staying updated on advances in the field. This dynamic environment offers both individual and team-based work, providing continuous learning and the opportunity to solve complex, real-world problems.

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

In the field of deep learning, senior roles such as AI research directors, machine learning executives, and lead data scientists at large tech companies can earn $500,000 or more annually, especially with bonuses and stock options. These positions typically require extensive experience, advanced degrees, and expertise in neural networks, programming, and large-scale data processing.

What is a Deep Learning job?

A Deep Learning job involves designing, developing, and optimizing neural networks to solve complex problems such as image recognition, natural language processing, and autonomous systems. Professionals in this field work with large datasets, neural network architectures, and frameworks like TensorFlow or PyTorch. They collaborate with data scientists, engineers, and researchers to improve model accuracy and efficiency. Deep Learning roles typically require strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration.

What are the key skills and qualifications needed to thrive in the Deep Learning position, and why are they important?

To thrive in Deep Learning, you need a solid understanding of machine learning theory, neural networks, mathematics (especially linear algebra and probability), and programming skills, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data preprocessing, and optionally industry-recognized certifications are advantageous. Strong analytical thinking, problem-solving skills, and the ability to communicate findings clearly are crucial soft skills. These abilities enable the design, implementation, and optimization of effective deep learning solutions in real-world applications.

More about DEEP Learning jobs
What cities are hiring for Deep Learning jobs? Cities with the most 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 Deep Learning jobs? States with the most job openings for Deep Learning jobs include:
What job categories do people searching Deep Learning jobs look for? The top searched job categories for Deep Learning jobs are:
DEEP Learning jobs near you
Infographic showing various Deep Learning job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $83,885 per year, or $40.3 per hour.
Deep Learning Field Engineer

Deep Learning Field Engineer

Matroid

Palo Alto, CA • On-site

$150K - $300K/yr

Full-time

Medical, Dental, Vision

Posted yesterday

Job description

About Matroid
With the rapid growth of artificial intelligence, more and more expert knowledge is required to use cutting edge AI techniques to solve real-world problems. At Matroid, we're building an intuitive product that allows anyone to train and deploy computer vision (CV) models without needing to know how to write a line of code.
Founded in 2016 by a Stanford professor, Matroid has raised $33.5 million from NEA, Energize Ventures, and Intel Capital and has a broad range of customers and partners in manufacturing, aerospace, transportation, security and safety and compliance.
We're looking for a Deep Learning Field Engineer to operate at the forefront of CV deployment in industry - building best-in-class CV systems that leverage deep learning techniques to solve a broad range of challenging use cases, such as quality inspection, assembly verification, process optimization and safety and compliance.
You'll be working at our new office in downtown Palo Alto, just a five-minute walk from the Caltrain station.
What you'll be doing
  • Train state-of-the-art CV models across a broad range of domains, such as object detection, anomaly detection, panoptic segmentation, action recognition and tracking.
  • Deploy end to end CV systems across a range of environments (cloud, edge, hybrid).
  • Integrate Matroid into inspection workflows and third party systems, such as manufacturing execution systems, safety alert systems and video management systems.
  • Perform quantitative and qualitative evaluation of the CV system and iterate on it to meet performance requirements.
  • Act as the technical expert, advising on all matters from technical scoping of engagements to model training, deployment and integration.
  • Empower customers with CV by designing and leading product training sessions.

How you'll be doing it
  • You will be a computer vision guru - intelligently and efficiently translating business problems into performant computer vision solutions.
  • You will be a product expert - selecting the best features to solve the task at hand.
  • You will be a customer advocate - understanding their intimate requirements and relaying feedback to the broader Matroid team to drive customer centric development.
  • You will be an AI orchestrator - integrating deep learning solutions with customers' internal systems, actively driving decisions and delivering real-world impact.
  • You will operate in a collaborative but highly autonomous environment that isn't bogged down by unnecessary meetings or project management.
  • You will learn a lot along the way, diving into new technologies and the world of CV both on your own and during frequent company tech talks.

What you bring to the table
  • Bachelor's degree in computer science, computer engineering, electrical engineering, or another technical field.
  • Experience training and deploying state-of-the-art CV models using popular machine learning frameworks, such as TensorFlow or PyTorch.
  • Strong software engineering skills.
  • Solid oral, written, presentation, collaboration, and interpersonal communication skills.
  • Adept at communicating to both technical and commercial audiences.

Bonus points if...
  • Graduate degree with a concentration in CV, artificial intelligence, machine learning, or related fields.
  • Previous work experience in field engineering, professional services, consulting, or another customer-facing field.
  • Experience with high growth technology startups.

What we offer in return
  • Competitive pay and equity.
  • The chance to constantly work on stimulating intellectual challenges.
  • Gym membership reimbursement.
  • Free lunch, healthy drinks, and snacks every day.
  • Medical, dental, and vision insurance with 100% paid premiums.
  • A flexible schedule that leaves time for all of your other interests.
  • A budget for whatever hardware or software will make you most effective.
  • Resources to learn about the cutting edge of software engineering and CV.
  • You'll be working at our new office in downtown Palo Alto, just a five-minute walk from the Caltrain station.

Matroid is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

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