2

Entry Level Computer Vision Deep Learning Engineer Jobs in Houston, TX

Be Seen First

Explore new ideas using deep learning, neural networks, and large foundation models. * Work on ... D. or Master's) in computer science, computer engineering, mathematics, physics, or related field.

Entry Level Python Developer

Houston, TX · On-site

$48 - $66.25/hr

... machine learning engineers. Who Should Apply Recent computer science/engineering/mathematics ... Knowledge of statistics, SAS, Python, computer vision, and data visualization tools * Excellent ...

... processing, computer vision, machine learning, or deep learning algorithms. * Familiarity with ... engineering, or translational research teams. * Demonstrated record of scholarly productivity ...

... processing, computer vision, machine learning, or deep learning algorithms. * Familiarity with ... engineering, or translational research teams. * Demonstrated record of scholarly productivity ...

UI Developer (jQuery + Bootstrap)

Houston, TX · On-site

$47.75 - $62/hr

... Data Engineer/AI/Machine learning Positions Preferred SKILLS Associate or Bachelors degree or ... Computer Vision, data visualization tools Candidates lacking technical skills can research our ...

... deep learning and natural language processing tasks - Collaborating with team members to adapt to ... PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation ...

next page

Showing results 1-20

Entry Level Computer Vision Deep Learning Engineer information

See Houston, TX salary details

$46.3K

$116K

$131.3K

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

As of Jun 30, 2026, the average yearly pay for entry level computer vision deep learning engineer in Houston, TX is $116,044.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,500.00 and $125,600.00 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.
What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs in Houston, TX? The most popular types of Computer Vision Deep Learning Engineer jobs in Houston, TX are:
What are popular job titles related to Entry Level Computer Vision Deep Learning Engineer jobs in Houston, TX? For Entry Level Computer Vision Deep Learning Engineer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Vision Deep Learning Engineer jobs in Houston, TX look for? The top searched job categories for Entry Level Computer Vision Deep Learning Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Entry Level Computer Vision Deep Learning Engineer jobs? Cities near Houston, TX with the most Entry Level Computer Vision Deep Learning Engineer job openings:

Senior Machine Learning Engineer - Deep & Reinforcement Learning

Kanak Elite Services Inc

Houston, TX • On-site

$99K - $137K/yr

Contractor

Posted 14 days ago


Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Senior Machine Learning Engineer with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Position           : Senior Machine Learning Engineer – Deep & Reinforcement Learning

Location          : Houston, TX Onsite

Duration         : Long term contract

Required skills:
- Degree in STEM field, Ph.D preferred.
- Master in Deep Learning, Reinforcement Learning, and multimodal large language model.
- Strong Pytorch or TensorFlow programming
- Machine Learning and Statistical Modelling - Mastery
- Exploratory Analysis
- Core Programming Skills & Languages
- AI Engineering Essentials
- DevOps and Agile
- Cloud deployment frameworks, infrastructure, and tooling