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Entry Level Computer Vision Deep Learning Engineer Jobs in New York, NY

... computer vision-across a cloud-agnostic stack. Responsibilities: * Build AI services: Develop and ... Vision & deep learning: Help develop and integrate CNNs and vision models (classification ...

... computer vision--across a cloud-agnostic stack. Responsibilities: * Build AI services: Develop and ... Vision & deep learning: Help develop and integrate CNNs and vision models (classification ...

... computer vision--across a cloud-agnostic stack. Responsibilities : * Build AI services: Develop and ... Vision & deep learning: Help develop and integrate CNNs and vision models (classification ...

... computer vision-across a cloud-agnostic stack. Responsibilities: * Build AI services: Develop and ... Vision & deep learning: Help develop and integrate CNNs and vision models (classification ...

Lead, Machine Learning Engineer

Newark, NJ · On-site

$107K - $141K/yr

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

Deep knowledge of math, probability, statistics and algorithms * Ability to write robust code in ... BSc in Computer Science, Mathematics or similar field; Master's degree is a plus

Deep knowledge of math, probability, statistics and algorithms * Ability to write robust code in ... BSc in Computer Science, Mathematics or similar field; Master's degree is a plus #J-18808-Ljbffr

New

Founded in 2017, OneTrack combines computer vision, deep learning, and low-cost edge sensors to give operations leaders real-time visibility, safety enforcement, and AI-powered automation across ...

Founded in 2017, OneTrack combines computer vision, deep learning, and low-cost edge sensors to give operations leaders real-time visibility, safety enforcement, and AI-powered automation across ...

Showing results 21-40

Entry Level Computer Vision Deep Learning Engineer information

See New York, NY salary details

$53.1K

$132.9K

$150.4K

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

As of Aug 7, 2026, the average yearly pay for entry level computer vision deep learning engineer in New York, NY is $132,942.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,000.00 and $143,900.00 per year, depending on experience, location, and employer.

What types of projects do entry level computer vision deep learning engineers typically work on, and how is their work structured within a team?

As an entry-level Computer Vision Deep Learning Engineer, you can expect to contribute to projects like object detection, image classification, and model optimization for real-world applications. Your tasks may include data preprocessing, training and evaluating neural networks, and writing code to integrate models into products or pipelines. You'll often collaborate closely with senior engineers, data scientists, and product managers, typically working in agile teams where regular code reviews and knowledge sharing are common. This collaborative environment not only helps you learn best practices but also provides opportunities to gradually take on more responsibility as your skills develop.

What does an entry level computer vision deep learning engineer do?

An Entry Level Computer Vision Deep Learning Engineer works on developing and implementing algorithms that allow computers to interpret and understand visual information from the world, such as images or videos. They typically use deep learning techniques, especially neural networks, to build models for tasks like object detection, facial recognition, and image classification. Their responsibilities may include data preprocessing, model training and evaluation, writing code (often in Python), and collaborating with senior engineers on real-world projects. This role is ideal for those who have a strong foundation in machine learning, programming, and mathematics, but are just starting their careers in the field.

What are the key skills and qualifications needed to thrive as an entry level computer vision deep learning engineer, and why are they important?

To thrive as an Entry Level Computer Vision Deep Learning Engineer, you need a solid understanding of computer vision fundamentals, deep learning concepts, and programming skills in languages like Python, along with a relevant degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with OpenCV, and knowledge of version control systems like Git are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate within teams and tackle complex challenges. These skills and qualities are crucial for developing, deploying, and optimizing computer vision solutions that meet real-world business needs.
What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs in New York, NY? The most popular types of Computer Vision Deep Learning Engineer jobs in New York, NY are:
What are popular job titles related to Entry Level Computer Vision Deep Learning Engineer jobs in New York, NY? For Entry Level Computer Vision Deep Learning Engineer jobs in New York, NY, the most frequently searched job titles are:
What cities near New York, NY are hiring for Entry Level Computer Vision Deep Learning Engineer jobs? Cities near New York, NY with the most Entry Level Computer Vision Deep Learning Engineer job openings:
Infographic showing various Entry Level Computer Vision Deep Learning Engineer job openings in New York, NY as of June 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $132,942 per year, or $63.9 per hour.

Deep Learning Researcher - Intern

Seven Research

New York, NY • On-site

$200K - $300K/yr

Full-time, Internship

Re-posted 6 days ago


Job description

Why Work with Us
Solve impactful problems. At Seven Research, our close-knit team unites brilliant minds passionate about pushing technological and scientific boundaries in the global markets. We provide state-of-the-art resources and cultivate intellectual freedom, enabling our people to develop groundbreaking solutions to the most complex challenges of our field. Our collaborative approach celebrates excellence from everyone, regardless of tenure.
Your Role
Our Deep Learning Researchers expand the boundaries of quantitative finance through the development of advanced deep learning models. You will conduct rigorous, systematic research to pioneer advanced methodologies, uncover sophisticated insights, and implement innovative approaches within our teams.
What We're Looking For
We seek talented and knowledgeable problem-solvers with strong backgrounds in deep learning to come build with us. No financial knowledge is expected. Deep Learning Researcher candidates should have demonstrated strong applied research and critical analysis skills. We value team members who communicate clearly and can exercise ownership over projects. If working on challenging quantitative problems in a close-knit, research-driven environment excites you, we'd love to get to know you.
The ideal candidate will possess most of the following:
  • PhD degree in computer science or a related field
  • Mastery of deep learning techniques and proven track record of building sophisticated predictive models using deep learning
  • Publications in relevant journals and/or conference presentations
  • Strong programming skills, including mastery of Python
  • Strong problem-solving skills and research acumen
  • Strong communication skills to articulate complex technical concepts
  • Experience working with large data sets and computationally intensive projects
  • Experience with high-performance computing

Job Compensation Range
The base salary range for this role is prorated and based on a full-time salary range of $200,000 - $300,000. This does not include other forms of compensation and benefits that are part of Seven Research's comprehensive package. We will provide additional detail about compensation and benefits during our hiring process.
We are an equal opportunity employer and prohibit discrimination and harassment without regard to race, religion, age, sex, or any other characteristic protected by law.
If you have any questions, please contact us at careers@sevenresearch.com.