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Neural Engineering Jobs in Connecticut (NOW HIRING)

Collaborate with engineering, product, and data science teams to understand requirements ... Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE ...

Strong programming skills in Python, R, SQL, or similar tools. * Hands-on experience with machine ... Experience developing predictive models using methods such as regression, decision trees, or neural ...

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Neural Engineering information

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$10

$18

$28

How much do neural engineering jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for neural engineering in Connecticut is $18.37, according to ZipRecruiter salary data. Most workers in this role earn between $15.34 and $19.90 per hour, depending on experience, location, and employer.

What is neural engineering?

Neural engineering is a multidisciplinary field that combines engineering, neuroscience, and computational approaches to understand, repair, enhance, or interface with the nervous system. Neural engineers develop devices such as brain-computer interfaces, neural prosthetics, and neurostimulation systems to restore or improve neural function. This field plays an important role in advancing treatments for neurological disorders and in creating technologies that bridge the gap between machines and the human brain.

What are the key skills and qualifications needed to thrive as a neural engineer, and why are they important?

To thrive as a Neural Engineer, you need a strong background in neuroscience, biomedical engineering, and signal processing, typically supported by an advanced degree in a related field. Familiarity with programming languages (such as MATLAB or Python), neuroimaging tools, and hardware platforms used for neural interfacing is essential. Excellent problem-solving skills, collaboration, and clear communication set standout professionals apart in this multidisciplinary environment. These skills are crucial for developing innovative neural technologies and translating research into effective clinical or commercial solutions.

Is neural engineering a good career?

Neural engineering is a growing interdisciplinary field that combines neuroscience, engineering, and computer science to develop technologies like brain-computer interfaces and neural prosthetics. It offers opportunities in research, healthcare, and industry, often requiring advanced degrees and technical skills. The field is expected to expand as neurotechnology advances and healthcare needs increase.

What can you do with a neural engineering degree?

A neural engineering degree prepares individuals for careers in developing brain-computer interfaces, neuroprosthetics, and neural signal processing. Graduates often work in research, healthcare, or technology companies, utilizing skills in neuroscience, engineering, and programming to innovate medical devices and neural systems.

What are jobs in neural engineering?

Jobs in neural engineering focus on helping research and design biomedical devices like prosthetic limbs and artificial organs. In these roles, you may determine the best way to implement designs for each situation, figure out the best way to link mechanical systems to the human brain, and find the most cost-effective ways to build devices. Neural engineering differs from engineering regular prosthetic limbs in that they receive instructions directly from the brain and often send information back, rather than simply being attached to the body. This often involves programming specialized software and figuring out how to make devices that can teach the brain how to use them. In recent years, neural engineering has started to move out of the medical realm, and there may be more jobs of that nature in the future. Neural engineering is a specific type of biomedical engineering, but should not be confused with jobs in the broader category.

What are some common interdisciplinary challenges faced by neural engineers when collaborating with clinicians and data scientists?

Neural engineers frequently work on teams that include clinicians, data scientists, and hardware specialists, which can present unique interdisciplinary challenges. Effective communication is essential, as team members often have different technical backgrounds and priorities—clinicians focus on patient outcomes, while data scientists emphasize analytical accuracy. Bridging the gap between clinical needs and technical feasibility requires adaptability, openness to feedback, and a willingness to learn new concepts. Building strong collaborative relationships and participating in regular cross-functional meetings can help ensure that project goals are clearly understood and met by all stakeholders.
What are popular job titles related to Neural Engineering jobs in Connecticut? For Neural Engineering jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Neural Engineering jobs in Connecticut look for? The top searched job categories for Neural Engineering jobs in Connecticut are:
Infographic showing various Neural Engineering job openings in Connecticut as of August 2026, with employment types broken down into 5% Internship, 78% Full Time, and 17% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $38,217 per year, or $18.4 per hour.

Senior Applied AI Scientist - Multimodal & Computer Vision

The Hartford

Hartford, CT • Hybrid

$110K - $166K/yr

Full-time

Re-posted 2 days ago


The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 121 frontline employees who took The Breakroom Quiz

57th of 303 rated insurance


Job description

Sr Data Scientist - GD07AE

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

You are a driven and motivated problem solver ready to pursue meaningful work. You strive to make an impact every day not only at work, but at home and in the community too. If that sounds like you, then you've landed in the right place.

Emerging Tech and Innovation is a forward-looking team at The Hartford. We explore the frontier of AI by experimenting with emerging technologies, evaluating cutting-edge vendors, and rapidly prototyping solutions that can transform the insurance landscape.

We are seeking aSenior Data Scientistwith deep expertise in computer vision and a passion for experimentation. This role is ideal for someone who thrives in early-stage R&D environments, enjoys working with novel data modalities, and is excited by the challenge of translating emerging capabilities into business value. You'll collaborate closely with other data science and engineering teams, often handing off successful prototypes for production scaling.

Key Focus Areas

This position will build domain expertise in areas such as:

Multimodal generative AI, including image-text models

Rapid experimentationandproof-of-concept development

Vendor and technology evaluationsin the AI/ML space

Responsibilities

  • Design and prototype machine learning models for image and video data, with a focus on insurance-relevant use cases.
  • Evaluate emerging technologies and vendors, providing technical assessments and recommendations.
  • Collaborate with business stakeholders to identify high-impact opportunities for AI innovation.
  • Translate ambiguous problems into structured experiments and communicate findings clearly.
  • Partner with engineering and data science teams to transition successful prototypes into production-ready solutions.
  • Stay current on the latest research and trends in AI, computer vision, and generative models.
  • Mentor junior team members and contribute to a culture of curiosity and continuous learning.

What's in it for you?

  • Work on cutting-edge AI problems in a highly exploratory environment.
  • Collaborate with a high-performing, forward-focused team and engage with product owners and business stakeholders.
  • Expand your technical and strategic skills in a role that blends research, experimentation, and business impact.
  • Influence the future of AI at The Hartford by shaping how new technologies are evaluated and adopted.
  • Thrive in a supportive environment that values innovation, agility, and growth.

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Qualifications:

  • Master's or PhD in a quantitative field such as Data Science, Computer Science, Statistics, Applied Mathematics, or Engineering. A Bachelor's with additional years of relevant experience can substitute for an advanced degree.
  • 5+ years of experience in data science, machine learning, or a related field.
  • Proficiency in Python and SQL; experience with cloud platforms (AWS, GCP, or Azure).
  • Strong understanding of statistical modeling, machine learning, and data visualization techniques.
  • Excellent problem-solving skills and ability to work independently and collaboratively.
  • Strong communication skills with the ability to present complex ideas to diverse audiences.
  • Self-motivated, strong sense of ownership/accountability, and results oriented with the ability to manage time and schedules effectively
  • Natural curiosity with a strong desire to learn, maintain, and apply knowledge of emerging data technologies

Desired Qualifications:

  • Experience with Computer Vision, Convolutional Neural Networks(CNN), Multimodal GEN AI a plus
  • Familiarity with Agile and CI/CD practices.
  • Experience in innovation and rapid prototyping with a "fail-fast" mindset.
  • Knowledge of Property & Casualty Insurance business is a plus.

Candidate must be authorized to work in the US without company sponsorship.The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$110,720 - $166,080

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us|Our Culture|What It's Like to Work Here|Perks & Benefits


What The Hartford employees say

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Benefits

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Hartford logo

About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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