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Vision Engineer Jobs in Connecticut (NOW HIRING)

Sterling Engineering

Project Engineer

Manchester, CT · On-site

$28 - $40/hr

Project Engineer Location: Manchester, CT - 100% Onsite Duration and Hire Type: Contract to Hire ... Vision Plans, 401(k), and an Employee Stock Ownership (ESOP) Plan. Must Have Skill Set: Strong ...

Sterling Engineering Inc.

Tooling Engineer

Manchester, CT · On-site

$110K - $150K/yr

Tooling Engineer Manchester, Connecticut, United States (On-site) Senior Injection Molding Tooling ... Benefits Medical, dental, and vision insurance Life insurance Short-term and long-term disability ...

Urban Engineers

Office Engineer (34499)

Hartford, CT · On-site

$55 - $80/hr

Urban Engineers, Inc. is seeking an on-site Field Office Engineer to provide daily support for the ... Vision * Life Insurance * Short/Long Term Disability * Flexible Spending Accounts * 401K and ...

M&J Engineering

Office Engineer

Hamden, CT · On-site

Overview M&J Engineering, D.P.C. is a quality provider of multi-discipline consulting services with ... to the vision and growth of a quality, employee-owned, professional firm. To all full-time ...

M&J Engineering

Office Engineer

Hamden, CT · On-site

Overview M&J Engineering, D.P.C. is a quality provider of multi-discipline consulting services with ... to the vision and growth of a quality, employee-owned, professional firm. To all full-time ...

M&J Engineering

Office Engineer

Hamden, CT · On-site

M&J Engineering, D.P.C. is a quality provider of multi-discipline consulting services with over 300 ... to the vision and growth of a quality, employee-owned, professional firm. To all full-time ...

Urban Engineers, Inc

Office Engineer (34499)

Hartford, CT · On-site

$55 - $80/hr

Urban Engineers, Inc. is seeking an on-site Field Office Engineer to provide daily support for the ... Vision * Life Insurance * Short/Long Term Disability * Flexible Spending Accounts * 401K and ...

M&J Engineering P.C.

Office Engineer

Hamden, CT · On-site

Overview M&J Engineering, D.P.C. is a quality provider of multi-discipline consulting services with ... the vision and growth of a quality, employee‑owned, professional firm. To all full‑time ...

HTS Engineering Ltd

Senior Sales Engineer

Hartford, CT · On-site

HTS Engineering Ltd. is the largest independent commercial HVAC manufacturers' rep in North America ... Vision insurance * Employee Referral Program * Employee Ownership Plan HTS provides equal ...

K&A Engineering

Lead Engineer, Substation

Orange, CT · Hybrid

$115K - $130K/yr

We provide comprehensive consulting, engineering and design, program and project management ... Medical, Dental, and Vision Insurance * FSA, HSA, and Dependent Care Spending Account * 401K ...

ASML Germany GmbH

Electrical Engineer

Wilton, CT · On-site

Introduction to the job As an electrical engineer at ASML in Wilton, you will help develop the ... Specific vision abilities required include close vision, color vision, peripheral vision, depth ...

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Vision Engineer information

See Connecticut salary details

$36.1K

$110.2K

$182.2K

How much do vision engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for vision engineer in Connecticut is $110,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,000.00 and $144,100.00 per year, depending on experience, location, and employer.

What is a vision engineer?

Vision Engineers are professionals who design, develop, and implement computer vision systems that enable machines to interpret and understand visual information from the world. They work with image and video processing algorithms, deep learning models, and hardware such as cameras and sensors to solve problems in areas like robotics, autonomous vehicles, and quality inspection. Vision Engineers often collaborate with software developers, data scientists, and hardware engineers to create solutions that can recognize objects, track movements, or analyze scenes automatically.

How does a vision engineer typically collaborate with other engineering teams during a project?

Vision Engineers often work closely with software developers, hardware engineers, and data scientists to integrate computer vision solutions into larger systems. Collaboration usually involves sharing specifications, aligning on data formats, and frequent meetings to ensure seamless interaction between visual algorithms and system hardware or applications. Effective communication and cross-disciplinary teamwork are essential, as vision models must be optimized for real-time performance and reliability within the constraints of the broader product.

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

To thrive as a Vision Engineer, you need a strong background in computer vision, image processing, and programming languages such as Python or C++, often supported by a degree in computer science, electrical engineering, or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), OpenCV, and experience with camera systems or embedded hardware are typically required. Analytical thinking, problem-solving, and the ability to communicate complex technical concepts clearly are standout soft skills. These abilities are crucial for developing robust vision solutions that drive innovation in industries such as robotics, automotive, and manufacturing.

What is the difference between Vision Engineer vs Computer Vision Engineer?

AspectVision EngineerComputer Vision Engineer
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; experience with image processing and sensor integrationBachelor's or higher in computer science, AI, or related fields; strong programming skills in Python, C++, and experience with machine learning
Work EnvironmentResearch labs, robotics companies, manufacturing, automotiveTech companies, AI startups, robotics, healthcare imaging
Industry UsageUsed in robotics, automation, and sensor systemsApplied in AI, autonomous vehicles, medical imaging, and surveillance

While both roles focus on visual data, a Vision Engineer typically works on integrating sensors and hardware for vision systems, whereas a Computer Vision Engineer develops algorithms and software for interpreting visual data. The roles often overlap but differ mainly in hardware versus software focus.

What does a vision engineer do?

A vision engineer designs, develops, and tests computer vision systems and algorithms used in applications like robotics, autonomous vehicles, and image processing. They work with tools such as MATLAB, OpenCV, and machine learning frameworks, often requiring knowledge of programming, image analysis, and sensor integration.

What are popular job titles related to Vision Engineer jobs in Connecticut?

For Vision Engineer jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Vision Engineer jobs in Connecticut look for?

The top searched job categories for Vision Engineer jobs in Connecticut are:

Vision Engineer jobs near you
Infographic showing various Vision Engineer job openings in Connecticut as of September 2026, with employment types broken down into 1% As Needed, 75% Full Time, 15% Part Time, 1% Temporary, and 8% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $110,220 per year, or $53 per hour.

Staff Applied Scientist Document Vision

Bridgeport, CT • On-site

Relativity
See more jobs at Relativityexternal

Other

Re-posted yesterday

Key responsibilities

  • Own the science of multimodal document understanding, including vision-language modeling and evaluation standards.

  • Set standards for evaluation methods, modeling patterns, and quality benchmarks that are adopted across teams.

  • Own readiness for flagship AI systems by managing problem framing, efficacy studies, and production monitoring.

Job description

Posting Type

Remote/Hybrid

Job Overview

The Work
Every legal matter is its own experiment. An attorney arrives with a theory of the case; the evidence arrives as hundreds of thousands of documents, sometimes millions, that no one has read and no model has seen. Somewhere in the cross product of the two are the answers that decide lawsuits, investigations, and livelihoods. Finding them quickly and defensibly, with the integrity and credibility attorneys can rely on, is the problem we own. We solve it creatively and rigorously.
Relativity is a data-centered, AI-native legal technology company, and Applied Science builds the AI inside Relativity aiR. We launched aiR in 2023 and have now run commercial generative AI in the legal domain for more than three years, powering work that includes the largest investigations in the world. Our systems are distinguished by the data they operate over (more than 93 petabytes) and the work they have done: over 190 million AI review decisions, backed by more than 1 billion generative sub-analyses in 2026 alone. The team is as distinctive as the data: legal experts, all former litigators, work directly inside Applied Science.
At Relativity, our mission is to Organize data. Discover the truth. Act on it. The Applied Science team serves this mission by building bold and ambitious AI systems. We are curious, dedicated, and humble. We understand complexity, uphold rigor, and measure relentlessly. We build and ship with pace. Above all, we are interdisciplinary collaborators and team players.
We're looking for a Staff Applied Scientist to take on our hardest problems in document vision and set standards that reach beyond a single team.

Job Description and Requirements

Capable and Reliable

Two requests can look nearly identical and be worlds apart. "See if you can find me an example of this" needs a capable system: it finds the example or it doesn't. "Conduct a reasonable search for any and all documents responsive to this request" is a different kind of promise. Its answer spans a corpus no one will ever read end-to-end. So the system's process, as much as its output, has to earn the trust of the professionals who rely on it.

That property is reliability. It decomposes into consistency, robustness, calibration, and safety: systems that behave tomorrow the way they did today, degrade predictably under stress, know how confident they should be, and check their own work. Before aiR returns an analysis, it validates its citations and runs internal consistency checks; when a check fails, it refuses to answer. It has refused more than a million times so far in 2026, and we count every one as a success: an error caught before it reached a user.

You'll build for both, and help define the standard for how.

The Focus: Document Vision

This role anchors our document-vision work: teaching systems to read evidence the way legal professionals do. Real matters arrive as scanned pages, photographs, tables, handwriting, stamps, and broken layouts, at the scale of millions of documents. You'll own the science of multimodal document understanding across aiR, from vision-language modeling to the evaluation standards that make visual evidence usable and defensible.

What You'll Do

  • Take on the hardest, most ambiguous problems in the portfolio and produce clarity: a well-specified approach, an evaluation that settles the question, a system that ships.
  • Set standards that reach beyond your team: evaluation methods, modeling patterns, and quality bars adopted by scientists you've never worked with.
  • Own readiness for flagship AI systems, from problem framing through efficacy studies and production monitoring, in partnership with engineering.
  • Multiply the team through deep review and mentorship of senior and lead scientists.
  • Advise Applied Science leadership on where the science is going and where we should invest.

What You Bring

  • A master's or PhD in computer science or another quantitative discipline (or equivalent professional experience), and at least 6 years of applied AI/ML experience.
  • Years of production AI/ML behind you: systems you specified, shipped, and operated at scale, in partnership with the engineers who run them.
  • Expert judgment about AI systems: you've built them, measured them, and formed views of their limits that hold up under challenge.
  • Scientific rigor other people borrow: you supervise the data understanding of teams beyond your own, your evaluations become the template, and your error analyses end debates.
  • Software-engineering judgment trusted across teams, and the programming skill to credibly prototype what you propose.
  • An ownership mindset that extends across the organization.

Nice to Have

  • Experience with vision-language or document-understanding models (layout analysis, OCR-adjacent pipelines, table and figure extraction) in production.
  • An interest in legal technology and the justice system.
  • Experience developing information retrieval systems.
  • Experience developing agentic harnesses.
  • Experience building reliable AI systems at scale.

Why Relativity Applied Science

This is the place where your curiosity, dedication, and talent will build products that power the pursuit of justice around the world.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$197,000 and $295,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Algorithms, Computer Vision, Data Analysis, Data Science, Deep Learning, Machine Learning (ML), Natural Language, Natural Language Processing (NLP), Python (Programming Language), Scientific Research

Apply