1

Evening Computer Vision Deep Learning Engineer Jobs in New Jersey

Senior Machine Learning Engineer

Union, NJ · On-site

$106K - $146K/yr

... with focus on computer vision * Deep expertise in face recognition architectures (ArcFace, CosFace, or similar) * Strong PyTorch skills with experience exporting to ONNX for edge deployment

Research, develop, and prototype novel algorithms in computer vision, deep learning, and autonomous ... Partner with cross-functional teams in AI, robotics, and systems engineering to co-create ...

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 ...

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 ...

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 ...

Research, develop, and prototype novel algorithms in computer vision, deep learning, and autonomous ... Partner with cross-functional teams in AI, robotics, and systems engineering to co-create ...

Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression ... NLP, computer vision, and predictive analytics * Model Performance Management: model monitoring ...

Lead AI Engineer-Machine Learning

Parsippany, NJ · On-site

$103K - $135K/yr

Lincoln Tech is seeking a Lead AI Engineer -- Machine Learning to build efficient, data-driven AI ... Expertise in LLMs, Generative AI, Computer Vision, or NLP * Strong system design skills with deep ...

next page

Showing results 1-20

Evening Computer Vision Deep Learning Engineer information

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 are the most commonly searched types of Computer Vision Deep Learning Engineer jobs in New Jersey?

The most popular types of Computer Vision Deep Learning Engineer jobs in New Jersey are:

What are popular job titles related to Evening Computer Vision Deep Learning Engineer jobs in New Jersey?

For Evening Computer Vision Deep Learning Engineer jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Evening Computer Vision Deep Learning Engineer jobs in New Jersey look for?

The top searched job categories for Evening Computer Vision Deep Learning Engineer jobs in New Jersey are:

What cities in New Jersey are hiring for Evening Computer Vision Deep Learning Engineer jobs?

Cities in New Jersey with the most Evening Computer Vision Deep Learning Engineer job openings:

Infographic showing various Evening Computer Vision Deep Learning Engineer job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 15% Part Time, 2% Temporary, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Senior Machine Learning Engineer

Union, NJ • On-site

$106K - $146K/yr

Other

Posted 8 days ago


Job description

Senior Machine Learning Engineer

We're looking for a Senior ML Engineer to advance our age bracket classifiers and face recognition models. We run 5 binary classifiers (+12/+15/+18/+21/+25) deployed as ONNX models for client-side inference via WebAssembly — you'll improve accuracy, reduce bias, and tackle anti-spoofing.

Xident is building the future of digital identity verification. Our platform enables businesses to verify users' ages and identities in seconds, while respecting privacy through our unique "Verify Once, Access Everywhere" model.

Founded in 2023, we've already processed over 10M+ verifications processed and serve 500+ businesses. We're a remote-first company with team members across 12 countries.

Our mission is simple: To make identity verification seamless, private, and accessible for everyone. We believe privacy and convenience shouldn't be mutually exclusive, and we're proving it every day.

25+

Team members

500+ businesses

Customers

12

Countries

What You'll Do
  • Improve our age bracket binary classifiers — currently +18 achieves 0.03% FPR / 11% FRR, target similar for +12/+15/+21/+25
  • Research and implement state-of-the-art face recognition using InsightFace (ArcFace) architectures
  • Develop robust liveness detection and anti-spoofing models resistant to photos, videos, and deepfakes
  • Optimize models for client-side ONNX Runtime inference (WebAssembly, Core ML, TensorFlow Lite)
  • Build fair and unbiased models — measure and mitigate demographic performance gaps
  • Collaborate with Python and Go engineers on training pipelines and model deployment via River queue
What We're Looking For
  • 7+ years of machine learning experience with focus on computer vision
  • Deep expertise in face recognition architectures (ArcFace, CosFace, or similar)
  • Strong PyTorch skills with experience exporting to ONNX for edge deployment
  • Published research or significant contributions to CV/ML projects
  • Experience with model optimization (quantization, pruning, distillation) for edge inference
  • Understanding of ML fairness, bias detection, and mitigation strategies
Nice to Have
  • PhD in Computer Science, ML, or related field
  • Experience with document OCR and VLM-based verification
  • Background in privacy-preserving ML — on-device inference, no server-side face storage
Our Values

We iterate quickly, gather feedback, and improve continuously.

Ownership Mentality

Everyone owns their domain end-to-end. No finger-pointing, just solutions.

Transparent by Default

We're happy to answer any questions before you apply. Reach out to our team anytime.

#J-18808-Ljbffr