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

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 ...

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 ...

Accenture

Senior Data Scientist

Manhattan, NY · On-site

... Senior Data Scientist AI capabilities. The ideal candidate combines technical depth, business ... Build natural language processing and computer vision solutions for document intelligence ...

Tror AI for everyone

Gen AIML Expert

Iselin, NJ · On-site

$123K - $166K/yr

Senior lead with broad understanding of AI space and expertise in creating/ holding executive ... Stay ahead of the curve in Generative AI, Computer Vision, or NLP, adapting the latest research ...

Viam

Senior Developer Advocate

New York, NY · Hybrid

$220K - $250K/yr

The Developer Advocacy team reports to our SVP of Product & Education. You'll be responsible for ... Projects can involve a range of topics like a robot arm that sorts objects, a computer-vision ...

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Senior Computer Vision information

See Plainfield, NJ salary details

$25.6K

$82.4K

$167.7K

How much do senior computer vision jobs pay per year?

As of Aug 20, 2026, the average yearly pay for senior computer vision in Plainfield, NJ is $82,359.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,600.00 and $105,700.00 per year, depending on experience, location, and employer.

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 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 job categories do people searching Senior Computer Vision jobs in Plainfield, NJ look for?

The top searched job categories for Senior Computer Vision jobs in Plainfield, NJ are:

What cities near Plainfield, NJ are hiring for Senior Computer Vision jobs?

Cities near Plainfield, NJ with the most Senior Computer Vision job openings:

Senior Computer Vision jobs near you

Senior Machine Learning Operations Engineer

ZeroMark, Inc.

Manhattan, NY • On-site

$115K - $158K/yr

Full-time

Re-posted 17 days ago

Job description

Job Summary:
ZeroMark builds AI-driven counter-drone systems that work in combat, focusing on practical, field-tested technology. They are seeking a Senior Machine Learning Operations Engineer to design and implement machine learning pipelines, collaborate with software engineers, and mentor junior engineers, all while working in defense contexts.
Responsibilities:
• Design, develop, and implement end-to-end machine learning pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
• Collaborate with the general software engineering team to integrate ML models into existing software systems and ensure scalability and maintainability.
• Work in conjunction with computer vision specialists to apply and optimize ML techniques for image and video analysis, object detection, tracking, and recognition in defense contexts.
• Research and evaluate new machine learning algorithms, tools, and technologies to enhance our capabilities and solve challenging problems.
• Perform rigorous model testing, validation, and performance tuning to ensure robustness and accuracy in real-world scenarios.
• Contribute to the development of best practices for ML engineering, including MLOps, version control, and reproducible research.
• Mentor junior engineers and contribute to a culture of continuous learning and knowledge sharing.
• Communicate technical concepts effectively to both technical and non-technical stakeholders.
Qualifications:
Required:
• Education: Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
• Experience: 5+ years of experience in machine learning engineering, with a proven track record of deploying ML models in production environments.
• Strong proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of core machine learning concepts, including supervised, unsupervised, and reinforcement learning.
• Experience with various machine learning model architectures and their application (e.g., CNNs, RNNs, Transformers, decision trees, support vector machines).
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Experience with MLOps tools and practices.
• Experience deploying a variety of edge systems.
• Experience with TensorRT and other similar technologies.
• Deep knowledge of C++ and Python.
• Experience or strong interest in defense, aerospace, or related industries is highly desirable.
• Understanding of the unique challenges and considerations for deploying ML in defense applications (e.g., adversarial robustness, real-time constraints, data security).
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Ability to translate complex technical concepts into clear and concise language.
• Strong analytical and problem-solving skills, with a proactive and innovative approach.
• Ability to work independently and manage multiple priorities in a fast-paced environment.
Preferred:
• Experience with specific computer vision tasks such as object detection, segmentation, or tracking.
• Familiarity with real-time ML systems and embedded systems.
• Contributions to open-source projects or publications in relevant fields.
Company:
ZeroMark empowers US and allied forces with cutting-edge defense technology, elevating mission success and safeguarding personnel. Founded in 2022, the company is headquartered in New York, USA, with a team of 2-10 employees. The company is currently Early Stage.

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