1

Deep Learning Jobs (NOW HIRING)

They are seeking a Deep Learning Field Engineer to develop and deploy cutting-edge CV systems that utilize deep learning techniques to address various industrial challenges. Responsibilities : • ...

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 ...

Deep Learning Field Engineer

Palo Alto, CA · Hybrid

$150K - $300K/yr

  • Medical

  • Dental

  • Vision

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 ...

Senior Deep Learning Engineer - Perception

San Jose, CA · On-site

$123K - $169K/yr

Description 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 ...

NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling ...

Deep Learning Field Engineer

Palo Alto, CA · On-site

$150K - $300K/yr

  • Medical

  • Dental

  • Vision

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 ...

Showing results 41-60

Deep Learning information

See salary details

$11K

$83.9K

$140K

How much do deep learning jobs pay per year?

As of Aug 16, 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.

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 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 a deep learning position?

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:

Infographic showing various Deep Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% 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.

Research Fellow - Deep Learning

Mass General Brigham

Boston, MA • On-site

Full-time

Re-posted 2 days ago


Brigham and Women's Hospital rating

8.1

Company rating: 8.1 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

120th of 1,059 rated hospitals


Job description

Job Summary:
Mass General Brigham is a not-for-profit organization that supports patient care, research, teaching, and community service. They are seeking a postdoctoral fellow to work on machine-learning algorithms for the automatic diagnosis of dystonia, focusing on the development and clinical implementation of the DystoniaNet platform.
Responsibilities:
• Experimental data collection and processing
• Development and refinement of deep learning and other benchmark algorithms for predictive classification of dystonia and other related disorders
• Clinical translation and implementation of the developed algorithms and interactions with clinicians for their testing
• Establishment of new and fostering of existing collaborations
• Participation in the regulatory aspects of clinical translation and patenting
• Presentation of the results at the scientific meetings and publication of journal articles
• Mentoring junior staff
Qualifications:
Required:
• PhD or an equivalent degree in computer science, neuroscience, biomedical engineering, or related fields
• Broad proficiency and experience with supervised and unsupervised machine-learning methods, expertise in building neural network architectures
• Experience with neuroimaging data processing
• Advanced programming skills (Python and/or Matlab), including deep learning packages (e.g., TensorFlow or Keras)
• Knowledge and experience with cloud-based computational platforms (e.g., AWS)
• Excellent verbal and written communication skills
• Strong publication record and academic credentials
• Ability to work effectively both independently and in collaboration with multiple investigators
Company:
Mass General Brigham specializes in providing medical treatments and health diagnostics services. Founded in 1994, the company is headquartered in Somerville, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Brigham and Women's Hospital employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom