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Evening Computer Vision Deep Learning Engineer Jobs in Basking Ridge, NJ

Hyperproof

AI / Machine Learning Engineer

Woodbridge, NJ · On-site

$100 - $130/hr

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... computer vision libraries (e.g., OpenCV) and OCR technologies. * Strong understanding of deep ...

Seven Research

Deep Learning Researcher

New York, NY · On-site

$200K - $300K/yr

PhD degree in computer science or a related field * Mastery of deep learning techniques and proven ... Strong programming skills, including mastery of Python * Strong problem-solving skills and research ...

Seven Research

Deep Learning Researcher

New York, NY · On-site

$200K - $300K/yr

PhD degree in computer science or a related field * Mastery of deep learning techniques and proven ... Strong programming skills, including mastery of Python * Strong problem-solving skills and research ...

Point72

Machine Learning Engineer

New York, NY · On-site

About Cubist Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer ... Experience with deep neural networks and representation learning * Prior experience working in a ...

Point72

Machine Learning Engineer

New York, NY

About Cubist Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer ... Experience with deep neural networks and representation learning * Prior experience working in a ...

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Showing results 21-40

All JobsEvening Computer Vision Deep Learning Engineer JobsEvening Computer Vision Deep Learning Engineer Jobs in Basking Ridge, NJ

Evening Computer Vision Deep Learning Engineer information

See Basking Ridge, NJ salary details

$50K

$125.2K

$141.7K

How much do evening computer vision deep learning engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for evening computer vision deep learning engineer in Basking Ridge, NJ is $125,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,900.00 and $135,500.00 per year, depending on experience, location, and employer.

What is the difference between Evening Computer Vision Deep Learning Engineer vs Computer Vision Deep Learning Engineer?

AspectEvening Computer Vision Deep Learning EngineerComputer Vision Deep Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with deep learning frameworksBachelor's or Master's in CS, AI, or related fields; experience with deep learning frameworks
Work EnvironmentTypically evening or night shifts, often in research labs or tech companiesStandard daytime hours, in offices or remote settings
Industry UsageUsed in industries with 24/7 operations like surveillance, security, or manufacturingCommon across tech, automotive, healthcare, and research sectors

The main difference lies in work hours and shift timing. Evening Computer Vision Deep Learning Engineers work primarily during evening or night shifts, often in environments requiring 24/7 monitoring or operations. In contrast, Computer Vision Deep Learning Engineers usually work standard daytime hours. Both roles require similar skills and educational backgrounds, but their schedules and work environments differ significantly.

What job categories do people searching Evening Computer Vision Deep Learning Engineer jobs in Basking Ridge, NJ look for?

The top searched job categories for Evening Computer Vision Deep Learning Engineer jobs in Basking Ridge, NJ are:

What cities near Basking Ridge, NJ are hiring for Evening Computer Vision Deep Learning Engineer jobs?

Cities near Basking Ridge, NJ with the most Evening Computer Vision Deep Learning Engineer job openings:

Evening Computer Vision Deep Learning Engineer jobs near you

AI / Machine Learning Engineer

Hyperproof

Woodbridge, NJ • On-site

$100 - $130/hr

Other

PTO

Posted 15 days ago

Job description

Are you ready to shape the future of authentication? Join 1Kosmos and help lead the next wave in identity assurance and passwordless innovation.

1Kosmos is driving the future of identity security, empowering organizations to eliminate passwords and establish trust at every step of the identity lifecycle. As a vibrant team of innovators, we develop advanced authentication solutions trusted by some of the world’s leading brands. Join us as we create a passwordless world and set new standards for digital identity assurance.

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture, data extraction, and fraud detection, delivering high-performance models that can run on both mobile devices and cloud environments.

This role blends R&D with production engineering—you’ll take ownership of the full ML lifecycle, from dataset creation and model training to deployment and performance optimization.

Key Responsibilities
  • Design and implement AI models for image classification, object detection, OCR, and feature extraction.
  • Develop real-time image quality assessment and capture guidance algorithms.
  • Create and maintain data pipelines for collecting, cleaning, augmenting, and labeling datasets.
  • Implement model optimization techniques for mobile (on-device) and cloud inference.
  • Apply fraud detection methods to identify tampering, forgeries, or replay attacks in visual data.
  • Integrate ML models into production-grade APIs and mobile SDKs.
  • Monitor, evaluate, and continuously improve model accuracy and performance.
  • Collaborate with product and engineering teams to align AI capabilities with business goals.
  • Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field (or equivalent experience).
  • 3+ years of experience building and deploying ML models in production.
  • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar).
  • Experience with computer vision libraries (e.g., OpenCV) and OCR technologies.
  • Strong understanding of deep learning architectures for image and text recognition.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and API development.
  • Strong problem-solving skills and ability to work in fast-paced environments.
  • Based in the NJ / NY area; Hybrid working model.
Preferred Qualifications
  • Experience with model quantization and optimization for mobile deployment.
  • Knowledge of synthetic data generation and data augmentation techniques.
  • Background in security, liveness detection, or anomaly detection.
  • Exposure to compliance and data privacy regulations (GDPR, CCPA).
  • Contributions to open-source ML projects or published research.
  • Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High, FIDO2-certified cryptography, and NIST-compliant biometric systems.
  • Accelerated Growth: Receive annual stipends for certifications and attend key conferences like Identiverse or EIC.
  • Ownership & Impact: We move fast and will enable you to make a big impact with large customers in US & Canada.
  • Flexibility First: Unlimited PTO, and 2 days WFH.
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