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Entry Level Computer Vision Deep Learning Engineer Jobs

$125 - $150/hr

United States Role Summary We are seeking a highly skilled Computer Vision Engineer to design ... Optimize deep learning models for edge deployment using hardware acceleration to meet strict cycle ...

Senior Deep Learning Engineer - Perception

San Jose, CA · On-site

$123K - $169K/yr

Description Senior Deep Learning Engineer, Computer Vision imagry.E4.E30@comeetapply.com Location: San Jose, CA , On Site We are looking for a capable and experienced Sr. Deep Learning Engineer to ...

Senior Deep Learning Engineer - Perception

San Jose, CA · On-site

$123K - $169K/yr

Senior Deep Learning Engineer, Computer Vision imagry.E4.E30@comeetapply.com Location: San Jose, CA , On Site We are looking for a capable and experienced Sr. Deep Learning Engineer to join our R&D ...

Computer Vision Engineer

Sacramento, CA · On-site

$121K - $143K/yr

Strong background in computer vision, deep learning, or robotics. * Hands-on experience with ... Solid programming skills in Python (C++/Swift is a plus). * Experience with real-time systems or ...

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Entry Level Computer Vision Deep Learning Engineer information

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$48.5K

$121.5K

$137.5K

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

As of Sep 9, 2026, the average yearly pay for entry level computer vision deep learning engineer in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

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 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 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.
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Infographic showing various Entry Level Computer Vision Deep Learning Engineer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

Autonomy Engineer Intern, Computer Vision, Deep Learning

San Mateo, CA • On-site

$150 - $200/hr

Other

Posted 2 days ago

New


Job description


  • Architect and implement computer vision algorithms running on Skydio-powered drones

  • Assume direct ownership of a project that advances the team and products

  • Enable research and development of intelligent systems with advanced autonomous capabilities

  • Research, prototype, and assess the feasibility of new approaches

  • Imagine and implement new features for users

  • Characterize and quantify performance of core software and hardware components

  • Collaborate with core software development team members and computer vision/deep learning researchers


Requirements

  • High proficiency in C++ and/or Python and PyTorch

  • Demonstrated enthusiasm for one or more of: computer vision, deep learning, motion planning, dynamics and controls, 3D graphics, distributed systems, and tools/infrastructure

  • Solid software engineering foundation

  • Commitment to writing clean, well-architected code

  • Strong foundation in math and theory

  • Ability to thrive in a fast-paced, collaborative, small team environment

  • For positions located in the United States, employment eligibility is verified through E-Verify


Core Competencies

Demonstrates expertise in architecting and implementing computer vision algorithms, with a strong foundation in C++ and Python, particularly using PyTorch. Capable of collaborating effectively in a fast-paced environment while advancing intelligent systems and autonomous capabilities.


Highest-signal resume keywords

  • C++ Programming

  • Python Programming

  • PyTorch Framework

  • Computer Vision

  • Deep Learning


Hard Skills

  • C++ Programming

  • Python Programming

  • PyTorch Framework

  • Software Engineering

  • Mathematics

  • Algorithm Development

  • Performance Characterization

  • Motion Planning

  • 3D Graphics

  • Distributed Systems


Soft Skills

  • Collaboration

  • Enthusiasm

  • Adaptability

  • Teamwork


Industry Keywords

  • Computer Vision

  • Deep Learning

  • Autonomous Systems

  • E-Verify

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