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Intern Computer Vision Deep Learning Engineer Jobs in New York

Rebar

Senior Deep Learning Engineer

New York, NY · On-site

$114K - $157K/yr

We're looking for a Senior Deep Learning Engineer with extensive experience in modern neural network techniques and PyTorch to help us push the boundaries of computer vision in real-world ...

Rebar

Senior Deep Learning Engineer

Manhattan, NY

$115K - $158K/yr

We're looking for a Senior Deep Learning Engineer with extensive experience in modern neural network techniques and PyTorch to help us push the boundaries of computer vision in real-world ...

NBCUniversal

Deep Learning Engineer

Manhattan, NY

Implement core deep-learning, computer vision, and (inverse-)procedural modeling algorithms in ... Proven experience as a DL Engineer or Applied Research Engineer in a fast-paced environment.

NBCUniversal

Deep Learning Engineer

Manhattan, NY · On-site

$160K - $175K/yr

Implement core deep-learning, computer vision, and (inverse-)procedural modeling algorithms in ... Proven experience as a DL Engineer or Applied Research Engineer in a fast-paced environment.

NBCUniversal

Deep Learning Engineer

Manhattan, NY · On-site

Implement core deep-learning, computer vision, and (inverse-)procedural modeling algorithms in ... Proven experience as a DL Engineer or Applied Research Engineer in a fast-paced environment.

Norbert Health

Computer Vision/ML Engineer

Brooklyn, NY · On-site

$117K - $138K/yr

The position We are looking for our lead deep learning engineer to spearhead the development of our ... What you will do: * Design, fine-tune, and deploy computer vision models (YOLO, InsightFace ...

Norbert Health

Computer Vision/ML Engineer

New York, NY · On-site

$122K - $143K/yr

The position We are looking for our lead deep learning engineer to spearhead the development of our ... What you will do: * Design, fine-tune, and deploy computer vision models (YOLO, InsightFace ...

Norbert Health

Computer Vision/ML Engineer

New York, NY · On-site

$122K - $143K/yr

The position We are looking for our lead deep learning engineer to spearhead the development of our ... What you will do: * Design, fine-tune, and deploy computer vision models (YOLO, InsightFace ...

HeyMilo AI

Machine Learning Engineer

Manhattan, NY

... deep learning, and reinforcement learning - Experience with data preprocessing and feature ... NLP) and computer vision is a plus At HeyMilo AI, we value diversity and inclusivity and are ...

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All JobsIntern Computer Vision Deep Learning Engineer JobsIntern Computer Vision Deep Learning Engineer Jobs in New York

Intern Computer Vision Deep Learning Engineer information

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

AspectIntern Computer Vision Deep Learning EngineerIntern Machine Learning Engineer
Required SkillsComputer vision, deep learning, CNNs, Python, TensorFlow/PyTorchMachine learning, algorithms, Python, scikit-learn, TensorFlow/PyTorch
Work EnvironmentResearch labs, tech companies, startups focusing on image/video analysisTech companies, research labs, startups working on diverse ML applications
Industry UsagePrimarily in computer vision projects like object detection, image segmentationBroader ML projects including predictive modeling, NLP, recommendation systems

Intern Computer Vision Deep Learning Engineers focus on image and video analysis using deep learning techniques, while Intern Machine Learning Engineers work on a wider range of ML applications. Both roles require strong Python skills and familiarity with deep learning frameworks, but their project focus and industry applications differ.

What types of projects or tasks can I expect to work on as an Intern Computer Vision Deep Learning Engineer?

As an Intern Computer Vision Deep Learning Engineer, you can expect to contribute to projects involving image or video analysis, such as object detection, image classification, or facial recognition. Your daily tasks might include data preprocessing, annotating datasets, training and evaluating deep learning models, and assisting with model optimization for deployment. You’ll often work closely with senior engineers and researchers, gaining hands-on experience with real-world datasets and cutting-edge frameworks. Collaboration with cross-functional teams, such as software developers and product managers, is common to ensure your models address practical business needs.

What does an Intern Computer Vision Deep Learning Engineer do?

An Intern Computer Vision Deep Learning Engineer assists in developing and improving algorithms that enable computers to interpret and understand visual information from the world, such as images and videos. They often work on tasks like image classification, object detection, and facial recognition using deep learning frameworks like TensorFlow or PyTorch. Interns typically help with data collection, model training, evaluation, and sometimes deployment, all under the guidance of experienced team members. This role is a great opportunity to gain hands-on experience in machine learning and computer vision while contributing to real-world projects.

What are the key skills and qualifications needed to thrive as an Intern Computer Vision Deep Learning Engineer, and why are they important?

To thrive as an Intern Computer Vision Deep Learning Engineer, you need a solid understanding of machine learning fundamentals, computer vision concepts, and proficiency in programming languages like Python, often supported by coursework or personal projects. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and experience with image processing libraries like OpenCV are typically expected. Strong problem-solving abilities, curiosity, and effective teamwork skills help interns excel in fast-paced research and development environments. These skills are essential for contributing to innovative projects and adapting to the rapidly evolving field of computer vision.
What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs in New York? The most popular types of Computer Vision Deep Learning Engineer jobs in New York are:
What are popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in New York? For Intern Computer Vision Deep Learning Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Intern Computer Vision Deep Learning Engineer jobs in New York look for? The top searched job categories for Intern Computer Vision Deep Learning Engineer jobs in New York are:
What cities in New York are hiring for Intern Computer Vision Deep Learning Engineer jobs? Cities in New York with the most Intern Computer Vision Deep Learning Engineer job openings:
Intern Computer Vision Deep Learning Engineer jobs near you

Computer Vision Engineer (Object Detection & Tracking)

ZeroMark

New York, NY • On-site

$122K - $143K/yr

Full-time

Posted 16 days ago

Job description

About Us
ZeroMark builds AI-driven counter-drone systems that actually work in combat. No PowerPoints. No hype. Just field-proven technology that saves lives.
We've doubled year-over-year for two straight years, winning contracts that prove what we've always known: real innovation happens in the dirt, not in conference rooms. Our systems transform standard weapons into AI-powered platforms that detect, track, and neutralize drone threats-because a $200 drone shouldn't require a million-dollar countermeasure.
Here's what makes us different: ZeroMark operators don't build from behind screens. You'll validate tech from Blackhawk helicopters, train alongside Tier-1 units (who happen to be our coworkers), and test at legendary ranges from White Sands to the cliffs of Hawaii. When we say field-tested, we mean you'll shoot it, fly with it, and push it to failure. We don't tweet about changing the world-we're too busy actually doing it. Watch us in action here. Dark humor required, thick skin recommended.
If you want to make an actual impact-and have some unforgettable Tuesday afternoons along the way-let's talk. We're all about delivering practical, field-tested tech, not just theories.
What You'll Do
We are seeking an experienced and highly motivated Principal Computer Vision Engineer to join our team. This role is focused on developing and optimizing advanced computer vision algorithms for aerial object detection and tracking. The ideal candidate will have a strong background in computer vision, deep learning, and deep learning, with experience in the defense sector.
  • Contribute to the implementation of computer vision algorithms for aerial object detection and tracking.
  • Conduct research and stay up-to-date with the latest advancements in computer vision and deep learning to ensure our solutions remain at the forefront of technology.
  • Collaborate with cross-functional teams, including software engineers, hardware engineers, and data scientists, to integrate computer vision solutions into our defense systems.
  • Optimize and enhance existing algorithms for improved accuracy, efficiency, and real-time performance.
  • Analyze and interpret complex data sets to improve detection and tracking accuracy.
  • Help ensure compliance with industry standards and regulatory requirements in all developed solutions.

What You'll Need
  • Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on computer vision and machine learning.
  • Minimum of 2 years of experience in computer vision and object detection.
  • Strong programming skills in Python, C++, and familiarity with relevant libraries such as OpenCV, TensorFlow, PyTorch, etc.
  • Proven experience in developing and deploying machine learning and deep learning models in real-world applications.
  • In-depth knowledge of image processing, feature extraction, object detection, and tracking algorithms.
  • Excellent problem-solving skills, with the ability to think critically and innovate.
  • Strong communication skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders.
  • Ability to work effectively in a team-oriented, collaborative environment.

Bonus Points
  • Experience with drone technology and UAV systems.
  • Knowledge of radar, LIDAR, and other sensing technologies.
  • Experience in 3d perception or similar fields.
  • Familiarity with cloud computing platforms and edge computing.

What We Offer
  • Competitive salary, equity, and benefits package.
  • Opportunity to work on cutting-edge technology with a significant impact on national security.
  • A collaborative work environment that values innovation.
  • Professional development opportunities and career growth.

Apply