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

Kitware

Computational Imaging Researcher

New York, NY · On-site

$125K - $170K/yr

We seek to advance the fields of computational imaging, computer vision, and deep learning through ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

Optiver

Machine Learning Research Engineer

New York, NY · On-site

$224K/yr

Conducting innovative research on deep learning for price forecasting * Building scalable and ... Comprehensive health, mental, dental, vision, disability, and life coverage * 25 paid vacation days ...

PhysicsX

Machine Learning Engineer

New York, NY · On-site

About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated ... Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who ...

Optiver

Machine Learning Research Engineer

New York, NY · On-site

$200K/yr

Conducting innovative research on deep learning for price forecasting * Building scalable and ... Comprehensive health, mental, dental, vision, disability, and life coverage * 25 paid vacation days ...

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All JobsComputer Vision Deep Learning Engineer JobsEntry Level Computer Vision Deep Learning Engineer JobsEntry Level Computer Vision Deep Learning Engineer Jobs in New York, NY

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 6, 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 job categories do people searching Entry Level Computer Vision Deep Learning Engineer jobs in New York, NY look for? The top searched job categories for Entry Level Computer Vision Deep Learning Engineer jobs in New York, NY 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:
Entry Level Computer Vision Deep Learning Engineer jobs near you
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.

Machine Learning Performance Engineer

Optiver

New York, NY • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago

Job description

Optiver is a seeking a Machine Learning Performance Engineer to join our team, focusing on a pivotal AI initiative. This role would offer the opportunity to have significant impact across Machine Learning infrastructure, training, and inference challenges to advance our futures trading strategies.

What you'll do

As a Machine Learning Performance Engineer, your key responsibilities include:

  • Building scalable and robust training and inference pipelines for deep learning
  • Diving into internals of open-source deep learning frameworks and enhance their functionality
  • Identifying and eliminate performance bottlenecks
  • Collaborating closely with researchers and other engineers
  • Developing an in-depth understanding of trading systems

What you'll get

You'll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by a passion for continuous improvement, you'll thrive in a supportive, high-performing environment alongside talented colleagues, collectively tackling some of the toughest challenges in the financial markets.

In addition, you'll receive:

  • The opportunity to work alongside best-in-class professionals from over 40 different countries
  • A highly competitive compensation package
  • Global profit-sharing pool and performance-based bonus structure
  • 401(k) match up to 50%
  • Comprehensive health, mental, dental, vision, disability, and life coverage
  • 25 paid vacation days alongside market holidays
  • Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more

Who you are

  • Strong knowledge of low-level GPU programming with CUDA, including Tensor Cores, cooperative groups, graphs, and warp-level intrinsics
  • Expertise in internals of deep-learning frameworks like PyTorch, JAX, TensorFlow, etc.
  • Deep understanding of computer architecture
  • Experience in C++ and Python

Nice to have

  • Experience with JAX ecosystem (XLA, Flax, etc.)
  • Familiarity with GPU libraries and tools such as Triton, CUB, cuDNN, and cuBLAS
  • Linux system programming experience
  • Experience with large-scale distributed training
  • Contributions to open-source projects related to data science and machine learning

Who we are

At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilizing the market no matter the conditions. With a focus on continuous improvement, we prioritize safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.

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