ZipRecruiter

Log In

2

Entry Level Computer Vision Deep Learning Engineer Jobs

XPENG

Senior Computer Vision Engineer

Santa Clara, CA · On-site

$143.90K - $189.70K/yr

We are seeking a talented Computer Vision / Machine Learning Engineer to join our global team. In ... Familiar with deep learning frameworks (e.g., PyTorch, TensorFlow) and computer vision libraries (e ...

Magna

Computer Vision/ AI Intern- R&D Summer 2026

Troy, MI · On-site

$14.25 - $19/hr

Programming experience with Python/ C++, ROS/ROS2 Hands-on experience with deep learning frameworks such TensorFlow, PyTorch, etc. Good hands-on experience with computer vision algorithms and ...

Detect

AI Engineer - Computer Vision

Miami, FL

As a AI Engineer on the Computer Vision team, your primary focus will be contributing to the ... Design, train, and evaluate deep learning models for object detection, segmentation and ...

Koh Young America, Inc.

Computer Vision R&D Engineer

San Diego, CA · On-site

$119.30K - $140.70K/yr

... deep learning technologies. Summary We are seeking an Intermediate Computer Vision R&D Engineer to ... join our team. The candidate will be part of the core team of computer vision engineers. We will be ...

next page

Showing results 1-20

People also search for

All JobsEntry Level Computer Vision Deep Learning Engineer Jobs

Entry Level Computer Vision Deep Learning Engineer information

See salary details

$48.5K

$121.5K

$137.5K

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

As of May 30, 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 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 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.
More about Entry Level Computer Vision Deep Learning Engineer jobs
What cities are hiring for Entry Level Computer Vision Deep Learning Engineer jobs? Cities with the most Entry Level Computer Vision Deep Learning Engineer job openings:
What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs? The most popular types of Computer Vision Deep Learning Engineer jobs are:
What job categories do people searching Entry Level Computer Vision Deep Learning Engineer jobs look for? The top searched job categories for Entry Level Computer Vision Deep Learning Engineer jobs are:
Entry Level Computer Vision Deep Learning Engineer jobs near you

Senior Computer Vision Engineer

XPENG

Santa Clara, CA • On-site

$143.90K - $189.70K/yr

Full-time

Posted 7 days ago

Job description

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
We are seeking a talented Computer Vision / Machine Learning Engineer to join our global team. In this role, you will develop and optimize multi-modal models and computer vision systems, driving performance, efficiency, and real-world deployment. The ideal candidate has hands-on experience with multi-modal model training and optimization, a strong foundation in computer vision, and solid C++ engineering skills.
Key Responsibilities
  • Research and implement multi-modal large models (image-text, image-audio, etc.) training, fine-tuning, and inference optimization strategies, continuously improving model performance, efficiency, and generalization ability.
  • Design and optimize computer vision models and algorithms (e.g., detection, classification, segmentation, feature extraction) to support real-world applications.
  • Collaborate with cross-functional teams (product, engineering, data) to translate research into scalable, reliable, and production-ready solutions.
  • Use C++ to implement and optimize models and systems, including deployment, performance tuning, and integration, ensuring low latency and high throughput.
  • Stay up to date with advances in computer vision and multi-modal AI, and apply new methods to improve model performance and product impact.
  • Contribute to technical discussions, code reviews, and knowledge sharing to improve code quality and engineering best practices.
Minimum Qualifications
  • Master's or Ph.D. in Computer Science or a related field, with strong expertise in computer vision and machine learning.
  • 1-3 years of experience in multi-modal large model training, fine-tuning, and optimization (e.g., CLIP, Flamingo, BLIP, or self-developed multi-modal models), with a deep understanding of multi-modal fusion mechanisms.
  • Strong foundation in computer vision, including object detection, image classification, feature matching, and image enhancement.
  • Strong C++ development skills, with proficiency in STL, multi-threading, memory management, and performance optimization; experience in production-level implementation and deployment is required.
  • Familiar with deep learning frameworks (e.g., PyTorch, TensorFlow) and computer vision libraries (e.g., OpenCV, OpenMMLab).
  • Strong problem-solving ability, self-driven, and passionate about technological innovation; ability to work independently and in a team.
Preferred Qualifications
  • Experience in edge device algorithm deployment, published papers in top computer vision conferences (CVPR, ICCV, ECCV), or open-source project contributions in related fields.
What do we provide:
  • A fun, supportive and engaging environment.
  • Opportunity to make a significant impact on the transportation revolution by the means of advancing autonomous driving.
  • Opportunity to work on cutting edge technologies with the top talent in the field.
  • Competitive compensation package.
  • Snacks, lunches and fun activities.

The base salary range for this full-time position is $174,720 - $295,680 in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

Apply