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Senior Computer Vision Jobs in Secaucus, NJ (NOW HIRING)

PhysicsX

Senior Computer Vision Data Scientist

New York, NY · On-site

$120K - $240K/yr

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 ...

Mercor

Computer Vision MLE - Senior

New York, NY · Remote

$135/hr

Computer Vision MLE Type: Contract Compensation: $135/hour Location: Remote Duration: 3-4 weeks Commitment: 20+ hours/week Role Responsibilities * Benchmark baseline model performance on a ...

Motorola

Director of Computer Vision

New York, NY

The Director of Computer Vision will drive the technical vision, research and engineering execution ... mentor senior technical talent, and lead multiple teams across different geographies. * Strong ...

RimePro Inc

Senior CAD Drafter

Iselin, NJ

$75K - $95K/yr

... Senior Civil CAD Drafter with strong land development experience to support site development ... vision coverage 401(k) plan Paid holidays and PTO Long-term stability within an established ...

Macy's

Assistant Textile Designer-Home

Manhattan, NY

$56K - $93K/yr

They support the Senior CAD Designer/Senior Designer in executing a strategic vision with a customer-centric approach while meeting sales and profit objectives. This role requires leveraging ...

Macy's

Assistant Textile Designer-Home

Manhattan, NY · On-site

$56K - $93K/yr

They support the Senior CAD Designer/Senior Designer in executing a strategic vision with a customer-centric approach while meeting sales and profit objectives. This role requires leveraging ...

IPL (Indiana)

Senior CAD Designer

New York, NY

$83K - $99K/yr

AES Clean Energy is seeking a CAD professional with 5+ years of experience in the renewable ... The benefits offered for this position are: medical, dental, and vision coverage, life insurance ...

The AES Corporation

Senior CAD Designer

New York, NY · On-site

$83K - $99K/yr

AES Clean Energy is seeking a CAD professional with 5+ years of experience in the renewable ... The benefits offered for this position are: medical, dental, and vision coverage, life insurance ...

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 ...

Clearview AI

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115K - $158K/yr

Senior Machine Learning Engineer Department: Engineering Employment Type: Full Time Location: New ... Build, train, evaluate, and deploy computer vision and multimodal models, taking them from early ...

Career Renew

Senior Machine Learning Engineer

New York, NY · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... Design and implement novel computer vision and deep learning algorithms for virtual staining and ...

Tiger Analytics Inc.

Senior AI Engineer

Jersey City, NJ · Remote

$109K - $149K/yr

Experience with natural language processing (NLP) or computer vision applications. * Knowledge of MLOps principles and tools. * Familiarity with version control systems (e.g., Git) and Agile ...

Tiger Analytics Inc.

Senior AI Engineer

Jersey City, NJ · On-site

$109K - $149K/yr

Experience with natural language processing (NLP) or computer vision applications. * Knowledge of MLOps principles and tools. * Familiarity with version control systems (e.g., Git) and Agile ...

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All JobsComputer Vision JobsSenior Computer Vision JobsSenior Computer Vision Jobs in Secaucus, NJ

Senior Computer Vision information

See Secaucus, NJ salary details

$25.4K

$81.6K

$166.2K

How much do senior computer vision jobs pay per year?

As of Jul 26, 2026, the average yearly pay for senior computer vision in Secaucus, NJ is $81,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,200.00 and $104,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Computer Vision Engineer, and why are they important?

To thrive as a Senior Computer Vision Engineer, you need deep expertise in computer vision algorithms, machine learning, and a strong background in mathematics or computer science, usually supported by an advanced degree. Mastery of programming languages like Python or C++, and experience with frameworks such as OpenCV, TensorFlow, or PyTorch, as well as familiarity with cloud platforms and GPU computing, are typically required. Strong problem-solving abilities, effective communication, and the ability to collaborate across interdisciplinary teams are vital soft skills. These competencies are crucial for developing innovative vision solutions, ensuring project success, and translating complex technical concepts for diverse stakeholders.

What does a Senior Computer Vision Engineer do?

A Senior Computer Vision Engineer designs and implements algorithms that enable computers to interpret and process visual data from the world, such as images and videos. They work on tasks like object detection, image classification, and facial recognition, often using machine learning and deep learning techniques. Senior-level professionals also lead projects, mentor junior engineers, and help integrate computer vision solutions into products or services. Their expertise is critical in industries like autonomous vehicles, healthcare, robotics, and security.

What are some common challenges faced by Senior Computer Vision Engineers when deploying models to production environments?

Senior Computer Vision Engineers frequently encounter challenges such as ensuring model robustness under real-world conditions, optimizing inference speed for large-scale deployments, and managing diverse data quality issues. Additionally, integrating computer vision models into existing software systems often requires close collaboration with backend engineers and DevOps teams to maintain reliable, scalable pipelines. Addressing these obstacles typically involves rigorous testing, ongoing model monitoring, and iterative improvement to ensure accuracy and performance in dynamic environments.
What are the most commonly searched types of Computer Vision jobs in Secaucus, NJ? The most popular types of Computer Vision jobs in Secaucus, NJ are:
What job categories do people searching Senior Computer Vision jobs in Secaucus, NJ look for? The top searched job categories for Senior Computer Vision jobs in Secaucus, NJ are:
What cities near Secaucus, NJ are hiring for Senior Computer Vision jobs? Cities near Secaucus, NJ with the most Senior Computer Vision job openings:
Senior Computer Vision jobs near you
Infographic showing various Senior Computer Vision job openings in Secaucus, NJ as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 14% Part Time, and 9% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $81,627 per year, or $39.2 per hour.

Senior Computer Vision Data Scientist

PhysicsX

New York, NY • On-site

$120K - $240K/yr

Full-time

Retirement, PTO

Posted 28 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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