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Machine Learning Object Detection Jobs in New York, NY

ExaCare AI

Machine Learning Engineer

Manhattan, NY · On-site

$110 - $150/hr

We are seeking a highly adaptable, creative, and well‑rounded Machine Learning Engineer to join ... Implement and maintain robust monitoring systems to track model performance, detect drift, and ...

Prudence Holdings

Principal ML Engineer

Manhattan, NY · On-site

$180 - $240/hr

  • Medical

  • Dental

  • Vision

Design and train deep learning models for layout analysis, image‑to‑graph, object detection ... machine learning platform and modeling efforts. * Data & Training Strategy : Drive the strategy ...

Prudential Financial, Inc.

Lead, Machine Learning Engineer

Newark, NJ · On-site

$107K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Object-oriented programming concepts * Machine Learning and Deep Learning: Good understanding of ... Model Performance Management: model monitoring, model validation, bias detection, explainability ...

Prudential

Lead, Machine Learning Engineer

Newark, NJ

$107K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Object-oriented programming concepts * Machine Learning and Deep Learning: Good understanding of ... Model Performance Management: model monitoring, model validation, bias detection, explainability ...

Appgate

Staff Machine Learning Engineer

Manhattan, NY · On-site

$180K - $220K/yr

You will architect large-scale ML systems that detect and prevent fraud in real time combining deep machine learning expertise with scalable engineering and domain knowledge in financial systems.

Appgate

Principal Machine Learning Engineer

Manhattan, NY · On-site

$220K - $265K/yr

You will architect large-scale ML systems that detect and prevent fraud in real time combining deep machine learning expertise with scalable engineering and domain knowledge in financial systems.

Varsity Tutors

Machine Learning Tutor

White Plains, NY · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Paramus, NJ · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Yonkers, NY · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Paterson, NJ · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Elizabeth, NJ · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Jersey City, NJ · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Mount Vernon, NY · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Hempstead, NY · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Glen Cove, NY · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

New Brunswick, NJ · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

New Rochelle, NY · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Clifton, NJ · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Westfield, NJ · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

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Showing results 21-40

All JobsMachine Learning Object Detection JobsMachine Learning Object Detection Jobs in New York, NY

Machine Learning Object Detection information

See New York, NY salary details

$34.5K

$140.9K

$211.7K

How much do machine learning object detection jobs pay per year?

As of Aug 15, 2026, the average yearly pay for machine learning object detection in New York, NY is $140,878.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $169,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a machine learning object detection engineer, and why are they important?

To excel as a Machine Learning Object Detection Engineer, you need a solid background in computer science, mathematics, and deep learning principles, often backed by a relevant degree and experience in computer vision. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with annotation tools and GPU computing, is typically required. Strong problem-solving abilities, attention to detail, and effective communication are vital soft skills for collaborating with cross-functional teams and addressing complex challenges. These competencies ensure accurate model development, efficient deployment, and continual improvement of object detection systems in real-world applications.

What are some common challenges faced when working on machine learning object detection projects?

One of the main challenges in machine learning object detection roles is dealing with the quality and quantity of annotated data, as accurate labeling is essential for model performance. Another common challenge is managing variations in object scale, lighting, and occlusion within real-world images, which can affect detection accuracy. Additionally, balancing model accuracy with computational efficiency—especially for real-time applications—often requires careful model selection and optimization. Collaboration with data engineers and domain experts is also typical to ensure data relevance and model applicability.

What is machine learning object detection?

Machine learning object detection is a field within artificial intelligence that focuses on identifying and locating objects within images or videos. It uses algorithms and deep learning models, such as convolutional neural networks (CNNs), to analyze visual data and predict the presence and position of various objects. Object detection is widely used in applications like autonomous vehicles, security surveillance, and image search. The process typically involves training models on labeled datasets so they can accurately detect and classify multiple objects in complex scenes.

What are popular job titles related to Machine Learning Object Detection jobs in New York, NY?

For Machine Learning Object Detection jobs in New York, NY, the most frequently searched job titles are:

What job categories do people searching Machine Learning Object Detection jobs in New York, NY look for?

The top searched job categories for Machine Learning Object Detection jobs in New York, NY are:

What cities near New York, NY are hiring for Machine Learning Object Detection jobs?

Cities near New York, NY with the most Machine Learning Object Detection job openings:

Machine Learning Object Detection jobs near you

Machine Learning Engineer

ExaCare AI

Manhattan, NY • On-site

$110 - $150/hr

Other

Re-posted 20 days ago

Job description

We are seeking a highly adaptable, creative, and well‑rounded Machine Learning Engineer to join our team. You will own the end‑to‑end ML lifecycle, from dataset creation and foundational research to building and deploying production‑grade models. If you thrive in an environment where you can quickly iterate, experiment with cutting‑edge techniques, and see your work make a tangible impact, this is the role for you.

What You'll Do
  • Novel Solution Development: Research, design, and implement novel machine learning solutions using modern architectures to tackle complex business problems.
  • Rapid Prototyping & Iteration: Build and manage efficient pipelines for rapid experimentation and hypothesis testing.
  • Experiment Tracking: Methodically design, execute, and track all experiments, including hyperparameter searches, architecture changes, and data variations, using tools like MLflow or Weights & Biases.
  • Model Deployment: Deploy models into production environments using CI/CD practices and model serving frameworks.
  • Performance Monitoring: Implement and maintain robust monitoring systems to track model performance, detect drift, and ensure reliability and scalability.
  • Advanced Model Optimization: Apply modern techniques to optimize models for inference speed, memory footprint, and cost. This includes quantization, pruning, and knowledge distillation.
  • Data Lifecycle Management: Lead efforts in dataset creation, augmentation, and curation to build high‑quality, robust training data.
  • Advanced Architectures: Stay current with and apply state‑of‑the‑art techniques, especially relating to Large Language Models (LLMs).
What You'll Bring
  • Proven experience (3+ years) in building, training, and deploying machine learning models in a production environment.
  • Expert‑level proficiency in Python.
  • Experience with modern deep learning frameworks, such as PyTorch.
  • Demonstrable experience with systematic hyperparameter searching and optimization frameworks (e.g., Optuna, Ray Tune).
  • Exceptional organizational skills, with a strong emphasis on reproducible research and methodical experiment tracking.
  • Direct experience with LLMs, including fine‑tuning, prompt engineering, RAG, and efficient inference.
  • Practical experience implementing model optimization techniques like quantization (e.g., bitsandbytes) and pruning.
  • Experience in designing and curating novel datasets from scratch.
  • Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related technical field.
Bonus Points (Preferred Qualifications)
  • Familiarity with advanced model architectures like Transformers and Mixtures of Experts (MoE).
  • Contributions to open‑source ML projects or a portfolio of personal projects demonstrating a passion for the field.
  • Strong, hands‑on understanding of the MLOps lifecycle and associated tools (e.g., Docker, Kubernetes, MLflow, Kubeflow, Prometheus).

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