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Deep Learning Jobs in Massachusetts (NOW HIRING)

E Ink

Deep Learning Researcher 1900S-2

Billerica, MA · On-site

$130K - $160K/yr

Your role will be to use and develop cutting edge deep learning models to guide materials discovery and display design. This work will take place in a rapidly growing team developing new processes to ...

E Ink

Deep Learning Researcher 1900S-2

Billerica, MA · Hybrid

$130K - $160K/yr

Your role will be to use and develop cutting edge deep learning models to guide materials discovery and display design. This work will take place in a rapidly growing team developing new processes to ...

Cognex

Senior Machine Learning Engineer

Natick, MA

$115K - $225K/yr

Research, design, and implement efficient deep learning models forindustrialmachine vision tasks,with a focus on algorithms with low power, low latency and data efficiency requirements * Collaborate ...

Ikigai

Machine Learning Engineer

Cambridge, MA · On-site

... of deep learning architectures (CNNs, RNNs, etc.) to solve complex problems. • Stay abreast of recent ML and deep learning literature and adapt findings to real-world applications. • Work with ...

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See Massachusetts salary details

$12K

$91.6K

$152.9K

How much do deep learning jobs pay per year?

As of Jul 3, 2026, the average yearly pay for deep learning in Massachusetts is $91,613.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,600.00 and $151,800.00 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.

What are the most commonly searched types of Deep Learning jobs in Massachusetts? The most popular types of Deep Learning jobs in Massachusetts are:
What are popular job titles related to Deep Learning jobs in Massachusetts? For Deep Learning jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Deep Learning jobs in Massachusetts look for? The top searched job categories for Deep Learning jobs in Massachusetts are:
Deep Learning jobs near you
Infographic showing various Deep Learning job openings in Massachusetts as of June 2026, with employment types broken down into 1% Internship, 67% Full Time, 29% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $91,613 per year, or $44 per hour.

Research Fellow - Deep Learning

Massgeneralbrigham

Boston, MA • On-site

$70K - $71K/yr

Full-time

Posted 18 days ago

Job description

Site: Massachusetts Eye and Ear Infirmary


Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.


Job Summary

We have an open position for a computer science/machine-learning postdoctoral fellow to work on machine-learning algorithms for automatic diagnosis of dystonia, prediction of the risk for dystonia development, and the efficacy of treatment outcomes. This work will be directly related to the extension of our recently developedDystoniaNet platformand will include brain MRI datasets from patients with dystonia, other movement disorders, and healthy individuals.
The postdoctoral fellow will be part of a multidisciplinary team of neuroscientists, neurologists, laryngologists, and geneticists at Mass Eye and Ear and Mass General Hospital and work at the intersection on the development, testing and implement of DystoniaNet in the clinical setting. This position is best suited for an individual with a broad computer science background interested in understanding and examining critical clinical problems and developing research solutions for their translation to healthcare. The fellow will be highly competitive to pursue future opportunities in either academia or industry (pharma and biotech).


Qualifications

Postdoctoral Fellow in Deep Learning

We have an open position for a computer science/machine-learning postdoctoral fellow to work on machine-learning algorithms for automatic diagnosis of dystonia, prediction of the risk for dystonia development, and the efficacy of treatment outcomes. This work will be directly related to the extension of our recently developedDystoniaNet platformand will include brain MRI datasets from patients with dystonia, other movement disorders, and healthy individuals.

The postdoctoral fellow will be part of a multidisciplinary team of neuroscientists, neurologists, laryngologists, and geneticists at Mass Eye and Ear and Mass General Hospital and work at the intersection on the development, testing and implement of DystoniaNet in the clinical setting. This position is best suited for an individual with a broad computer science background interested in understanding and examining critical clinical problems and developing research solutions for their translation to healthcare. The fellow will be highly competitive to pursue future opportunities in either academia or industry (pharma and biotech).

Responsibilitiesinclude but may not be limited to

  • 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 and Skills

  • 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

Pay Range: $70,000.00 - $71,750.00/Annual


Additional Job Details (if applicable)


    Remote Type

    Onsite


    Work Location

    243-245 Charles Street


    Scheduled Weekly Hours

    40


    Employee Type

    Regular


    Work Shift

    Day (United States of America)


    EEO Statement:

    5110 Massachusetts Eye and Ear Infirmary is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.


    Mass General Brigham Competency Framework

    At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

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