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Contract Computer Vision Engineer Jobs in Parsippany, NJ

PhysicsX

Senior Computer Vision Data Scientist

New York, NY · On-site

$120K - $240K/yr

  • Retirement

  • PTO

We are building an AI-driven simulation software stack for engineering and manufacturing across ... Senior Data Scientist - Computer Vision & Predictive Maintenance We are looking for a Senior Data ...

DeepMagic

Software Engineer

Manhattan, NY · On-site

We have developed a fully integrated grab-and-go retail store enabled by computer vision, which we are now deploying with major brands around the world. We are looking for engineers and data ...

DeepMagic

Software Engineer

Manhattan, NY · On-site

We have developed a fully integrated grab-and-go retail store enabled by computer vision, which we are now deploying with major brands around the world. We are looking for engineers and data ...

Karumi (YC F25)

AI/ML Applied Engineer

Manhattan, NY · On-site

... computer vision and DOM understanding • Engineer prompt systems and LLM workflows for consistent, intelligent behavior • Create evaluation frameworks to measure voice quality, agent accuracy, and ...

Lofty

Software Engineer

New York, NY

  • Medical

  • Vision

  • PTO

Generalist Software Engineer + Computer Vision-focused Software Engineer Lofty is creating 3D digital copies of real physical spaces. We've built software to ingest a novel type of 3D model and make ...

Lofty

Software Engineer

New York, NY · On-site

  • Medical

  • PTO

Generalist Software Engineer + Computer Vision-focused Software Engineer Lofty is creating 3D digital copies of real physical spaces. We've built software to ingest a novel type of 3D model and make ...

Hayden AI

Staff Software Engineer

New York, NY · On-site

$230K - $299K/yr

About Us At Hayden AI, we are on a mission to harness the power of computer vision to transform the ... What the job involves As a Staff Software Engineer on the Perception team, you will be a key ...

Hayden AI

Senior Software Engineer

New York, NY · On-site

$200K - $260K/yr

About Us At Hayden AI, we are on a mission to harness the power of computer vision to transform the ... Job Summary As a Senior Software Engineer on the Pilots team within the Perception organization ...

Alta Ares

Software Engineer - VIE USA

New York, NY · On-site

Role & Mission This VIE is Alta Ares' software engineering presence in the United States - a ... You will contribute to the AI, computer vision, and embedded software stack that underpins Alta ...

Alta Ares

Software Engineer -- VIE USA

New York, NY · Remote

Role & Mission This VIE is Alta Ares' software engineering presence in the United States -- a ... You will contribute to the AI, computer vision, and embedded software stack that underpins Alta ...

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Showing results 21-40

All JobsContract Computer Vision Engineer JobsContract Computer Vision Engineer Jobs in Parsippany, NJ

Contract Computer Vision Engineer information

See Parsippany, NJ salary details

$48.8K

$122.2K

$138.3K

How much do contract computer vision engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for contract computer vision engineer in Parsippany, NJ is $122,204.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $132,200.00 per year, depending on experience, location, and employer.

What is a contract computer vision engineer?

Contract Computer Vision Engineers are professionals who specialize in developing and implementing computer vision algorithms and systems on a contract or freelance basis, rather than as full-time employees. They use their expertise in machine learning, image processing, and software engineering to help organizations solve problems involving visual data, such as object detection, image classification, and facial recognition. These engineers typically work on short- or medium-term projects, providing specialized skills and flexibility to companies that need computer vision solutions without hiring permanent staff.

What are the key skills and qualifications needed to thrive as a contract computer vision engineer?

To thrive as a Contract Computer Vision Engineer, you need strong programming skills in Python or C++, a solid understanding of machine learning algorithms, and a background in computer vision concepts, often supported by a relevant degree. Familiarity with tools like OpenCV, TensorFlow, PyTorch, and experience with cloud platforms or version control systems is typically required. Excellent problem-solving abilities, adaptability, and clear communication help you collaborate well with clients and teams on diverse projects. These skills are crucial to efficiently deliver high-quality, innovative computer vision solutions that meet client requirements on time.

What are some common challenges a contract computer vision engineer might face when integrating CV solutions into existing client systems?

As a Contract Computer Vision Engineer, you'll often encounter the challenge of integrating your models and algorithms with a client's existing infrastructure, which may use outdated or unfamiliar technologies. Ensuring compatibility, optimizing performance for specific hardware, and addressing data privacy concerns are frequent hurdles. Additionally, since contract roles are typically project-based, you may need to quickly adapt to new codebases and collaborate with multidisciplinary teams to align your solutions with broader business objectives. Clear communication and documentation are crucial to ensure smooth handover and long-term maintainability.

What is the difference between Contract Computer Vision Engineer vs Contract Machine Learning Engineer?

AspectContract Computer Vision EngineerContract Machine Learning Engineer
Required CredentialsBachelor's or Master's in CS, experience in CV frameworksBachelor's or Master's in CS, experience in ML frameworks
Work EnvironmentTech companies, startups, research labsTech companies, startups, research labs
Employer & Industry UsageUsed in image/video analysis, autonomous vehicles, roboticsUsed in predictive modeling, data analysis, AI applications

Contract Computer Vision Engineers focus on developing algorithms for image and video processing, while Contract Machine Learning Engineers work on broader AI models. Both roles often share similar credentials and work environments but differ in their specific technical focus and application areas.

What job categories do people searching Contract Computer Vision Engineer jobs in Parsippany, NJ look for?

The top searched job categories for Contract Computer Vision Engineer jobs in Parsippany, NJ are:

What cities near Parsippany, NJ are hiring for Contract Computer Vision Engineer jobs?

Cities near Parsippany, NJ with the most Contract Computer Vision Engineer job openings:

Contract Computer Vision Engineer jobs near you
Infographic showing various Contract Computer Vision Engineer job openings in Parsippany, NJ as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $122,204 per year, or $58.8 per hour.

Senior Computer Vision Data Scientist

PhysicsX

New York, NY • On-site

$120K - $240K/yr

Full-time

Retirement, PTO

Re-posted 22 days ago

Job description

About us
PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.
We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.
Senior Data Scientist - Computer Vision & Predictive Maintenance
We are looking for a Senior Data Scientist with deep computer vision expertise to lead the development of physics-informed predictive maintenance systems for high-value industrial equipment. Working directly with major industrial customers, you will build pipelines that fuse periodic inspection imagery with equipment operating history and physics-based inputs to predict remaining component life - helping operators reduce costly unplanned interventions and optimise asset availability.
Who we're looking for
You have a strong research foundation in computer vision and applied deep learning, and you know how to take that foundation into production on real-world industrial problems. You are energised by the challenge of building models that actually work under difficult conditions - sparse data, inconsistent image quality, and high stakes for getting it wrong. You can move fluidly between designing the right architecture and debugging a broken data pipeline.
You are comfortable working directly with domain experts and customers to translate physical intuition into modelling decisions, and you care about producing outputs that engineers can trust and operators can act on.
What you bring
  • Deep expertise in selecting, adapting, and fine-tuning pretrained vision encoders (ViT, DINOv3, ResNet-family or equivalent) for industrial or scientific imaging problems where data is sparse and capture conditions are variable
  • Strong command of gradient-based interpretability methods (Grad-CAM, integrated gradients) and the ability to produce sensitivity maps that make model behaviour reviewable by non-ML domain experts
  • Proven ability to build joint models that combine visual features with heterogeneous inputs including tabular metadata, time-series operating history, and physics-derived signals
  • Hands-on experience with probabilistic or Bayesian output modelling and calibrated uncertainty quantification
  • Production ML mindset - you architect and ship reliable, scalable pipelines deployable within enterprise cloud environments, not just notebooks
  • Comfort with messy, real-world industrial datasets: sparse time series, noisy labels, irregular collection intervals, and data linkage challenges
  • Strong communication skills across technical and non-technical audiences, including the ability to co-develop solutions on-site with customers
  • PhD or equivalent research experience in computer vision, machine learning, or a related field strongly preferred
  • Experience with physics-informed or hybrid ML approaches is a significant plus
  • Domain experience in aerospace, energy, heavy industry, mining, or MRO is helpful but not required - genuine curiosity about engineering domains and asset-intensive operations is essential
And it doesn't stop there ...
Equity options - share meaningfully in the company you're helping to build.
5% contribution to 401(k) - build long-term security with a strong retirement plan.
Free team lunch 1x/week - good food, great company, and space to connect.
Private health insurance - comprehensive cover for you, offering total peace of mind.
Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.
20 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.
Personal development - dedicated support for learning, development, and leveling up over time.
Gympass / Wellhub (subsidized) - for you and up to 3 family members, supporting both physical and mental wellbeing.
Flexible Spending Account (FSA) - set aside pre-tax dollars for eligible healthcare expenses.
Watch this space, we're continuing to build this as we grow...
Salary Range
$120,000 - 240,000 depending on experience
Seniority will be assessed throughout our interview process
We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.
We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

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