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Machine Learning Jobs in Dover, NJ (NOW HIRING)

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 ...

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 ...

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 ...

... machine-generated data - including logs, time series, traces, and events. We combine deep AI ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

Principal Machine Learning Engineer

Iselin, NJ · On-site

$291.50K - $369.10K/yr

Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience translating research ideas into production systems. Preferred Qualifications: * Deep NLP ...

Agentic AI Forward Deployment Engineer / AI/ML Lead Engineer Berkeley Heights, NJ / Atlanta, GA / Dallas, TX Job Summary: * Minimum 6+ years (not more than 15+ years overall) of experience in ...

AI Solutions Architect

Morristown, NJ · On-site

$65 - $85.75/hr

Responsibilities : • Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements • Developing account growth ...

Machine Learning Engineer As a Machine Learning Engineer, you will play a pivotal role in driving the development and implementation of cutting-edge machine learning solutions for our client. Your ...

Min. 10+ Summary Machine Learning Ops Engineer to build & support scalable, highly available and robust Machine Learning (Client) /Deep Learning (DL) platform using Client/DL frameworks, High ...

Machine Learning Engineer As a Machine Learning Engineer, you will play a pivotal role in driving the development and implementation of cutting-edge machine learning solutions for our client. Your ...

Top Must-Haves: * 5+ years of experience in machine learning, with a focus on recommendation systems. * Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks. * Strong understanding of ...

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Machine Learning information

See Dover, NJ salary details

$26.1K

$43.6K

$90.2K

How much do machine learning jobs pay per year?

As of Jun 1, 2026, the average yearly pay for machine learning in Dover, NJ is $43,629.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,300.00 and $47,100.00 per year, depending on experience, location, and employer.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.
What cities near Dover, NJ are hiring for Machine Learning jobs? Cities near Dover, NJ with the most Machine Learning job openings:
Infographic showing various Machine Learning job openings in Dover, NJ as of May 2026, with employment types broken down into 41% Full Time, 57% Part Time, 1% Contract, and 1% Nights. Highlights an 97% Physical, 2% Hybrid, and 1% Remote job distribution, with an average salary of $43,629 per year, or $21 per hour.
AI / Machine Learning Engineer

AI / Machine Learning Engineer

1Kosmos

Iselin, NJ • Hybrid

Other

PTO

Posted 20 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.
Requirements
  • 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.
Benefits
  • 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