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Entry Level Computer Vision Deep Learning Engineer Jobs

Imagry

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 ...

Imagry

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 ...

Aivra Health LLC

$28 - $45/hr

This role is ideal for students or entry level candidates in STEM fields who are passionate about ... Computer Vision * Deep Learning * Transformers * LLM fundamentals Cloud & MLOps * AWS (SageMaker ...

Aivra Health LLC

$28 - $45/hr

This role is ideal for students or entry level candidates in STEM fields who are passionate about ... Computer Vision * Deep Learning * Transformers * LLM fundamentals Cloud & MLOps * AWS (SageMaker ...

Aivra Health LLC

$28 - $45/hr

This role is ideal for students or entry level candidates in STEM fields who are passionate about ... Computer Vision * Deep Learning * Transformers * LLM fundamentals Cloud & MLOps * AWS (SageMaker ...

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All JobsEntry Level Computer Vision Deep Learning Engineer Jobs

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 Jun 19, 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 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 engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, and machine learning engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working at large tech companies or in high-demand industries. Roles like senior machine learning engineers or AI specialists with expertise in deep learning and computer vision are among those that may reach this compensation level.

Which 5 jobs will survive AI?

Entry Level Computer Vision Deep Learning Engineers are likely to continue in demand as AI advances, especially in fields requiring specialized knowledge of neural networks, image processing, and machine learning frameworks. Roles that involve designing, training, and maintaining AI models, along with skills in programming, data analysis, and domain expertise, are expected to persist. Jobs that require complex problem-solving, creativity, and human judgment will also remain resilient despite automation trends.

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 engineer makes $500,000 a year?

Highly experienced computer vision deep learning engineers working in senior or specialized roles at top tech companies can earn $500,000 or more annually, especially with bonuses and stock options. Such compensation typically requires advanced skills in deep learning frameworks, extensive industry experience, and often involves leadership or research positions in competitive environments.

Is computer vision a dead field?

Computer vision is an active and rapidly evolving field with ongoing research and industry applications, including in roles like entry-level computer vision deep learning engineers. Skills in deep learning frameworks such as TensorFlow or PyTorch are in high demand, and the field continues to grow with advancements in AI and machine learning. Job opportunities remain strong for those with relevant technical expertise.

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.
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
Infographic showing various Entry Level Computer Vision Deep Learning Engineer job openings in the United States as of June 2026, with employment types broken down into 70% Full Time, 29% Part Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

Machine Learning Engineer

PROPRIUS

San Francisco, CA

Full-time

Posted 5 days ago

Job description

Machine Learning Engineer

Location: San Francisco, CA

Sponsorship: No

Relocation: No

Industry: Machine Learning

Join an artificial intelligence company in San Francisco that excels at visual recognition and is looking for a new ML engineer to join their team. Become part of a collaborative team that tackles research problems through a process of prototyping, implementation, measurement, and iteration. You will implement state-of-the-art deep learning techniques to help develop innovative AI products.

As a ML Engineer, you will:

  • Work with the research team to improve the visual search products
  • Train models with curated data to evaluated and ultimately improve performance
  • Deploy production-ready models to customers
  • Help maintain the machine learning infrastructure

For this role you will need:

  • MS. Degree
  • Experience with Python
  • Computer Vision or NLP experience
  • Experience debugging complex systems.
  • (Kuberentes or Docker experience would be a plus).

This is an amazing opportunity to join a team and work on large projects using powerful computer vision/deep learning technology.

PROPRIUS is an AI Industry recruiting firm. We’re lucky enough to recruit the best candidates into the most exciting companies all over the United States. We deliver performance.