ZipRecruiter

Log In

1

Deep Learning Jobs in Connecticut (NOW HIRING)

Varsity Tutors

Machine Learning Tutor

Hartford, CT · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

Bridgeport, CT · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

Stamford, CT · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

New Haven, CT · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

Norwalk, CT · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

next page

Showing results 1-20

All JobsDeep Learning JobsDeep Learning Jobs in Connecticut

Deep Learning information

See Connecticut salary details

$10.5K

$79.8K

$133.2K

How much do deep learning jobs pay per year?

As of Jul 3, 2026, the average yearly pay for deep learning in Connecticut is $79,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,500.00 and $132,200.00 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 popular job titles related to Deep Learning jobs in Connecticut? For Deep Learning jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Deep Learning jobs in Connecticut look for? The top searched job categories for Deep Learning jobs in Connecticut are:
Deep Learning jobs near you
Infographic showing various Deep Learning job openings in Connecticut as of June 2026, with employment types broken down into 1% Internship, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $79,799 per year, or $38.4 per hour.

Senior Research Associate in Multimodal Learning

University of Bristol - School of Physiology, Pharmacology and Neuroscience

Bristol, CT • On-site

Full-time

Posted 9 days ago

Job description

Job Summary:
The University of Bristol's School of Physiology, Pharmacology and Neuroscience is seeking a Senior Research Associate in Multimodal Learning. The role involves conducting research on audio-visual understanding for smart hearing aids, collaborating with other researchers, and publishing findings in top-tier venues.
Responsibilities:
• Conducting novel research in multimodal audio-visual understanding – contributing novel research on designing, training and evaluating audio-visual understanding in conversational setting. This will include hands-on research using the latest deep learning approaches.
• Preparing API packages with low latency that will be integrated with partner demonstrations on quarterly basis.
• Presenting your work in regular meetings, taking feedback and integrating the goals of the proect into your individual research directions.
• Publishing in top-tier venues (conferences and journals). Communicating your work to the best possible audience.
• Collaborating with other researchers (postdocs and faculty) in the WeHear project.
• Co-advising junior PGR students.
Qualifications:
Required:
• PhD [near submission, submitted or graduated] in Multimodal Understanding, preferably with expertise in audio understanding, video understanding or multimodal visual models.
• Prior degree in computer science, engineering or mathematics
• Detailed knowledge of video understanding state-of-the-art, approaches, datasets and problems, preferably with expertise in egocentric datasets.
• Prior knowledge of egocentric audio-visual devices that work in real time like Meta Aria Glasses (Gen1 or Gen2) and Apple Vision Pro.
• Experience in handling audio-video data, for learning and inference
• Experience in modelling deep learning approaches
• Experience and evidence of publishing at high-calibre conferences and journals (at least one first-author paper in a major venue – CVPR/ICCV/ECCV/ICASSP/NeurIPs/PAMI/IJCV/Neurips/ICLR in the past 3 years).
• Excellent programming skills (Python)
• Proficiency in deep learning frameworks (PyTorch)
Company:
Research within the School of Physiology, Pharmacology and Neuroscience is conducted across Neuroscience, Cardiovascular and Cell Signalling. Founded in 1876, the company is headquartered in Bristol, Bristol, GB, , with a team of 51-200 employees. The company is currently Growth Stage.

Apply