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Entry Level Computer Vision Deep Learning Engineer Jobs in Saint Paul, AR

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Entry Level Computer Vision Deep Learning Engineer information

See Saint Paul, AR salary details

$45.5K

$114K

$129K

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

As of Sep 14, 2026, the average yearly pay for entry level computer vision deep learning engineer in Saint Paul, AR is $113,983.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $123,300.00 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.

What cities near Saint Paul, AR are hiring for Entry Level Computer Vision Deep Learning Engineer jobs?

Cities near Saint Paul, AR with the most Entry Level Computer Vision Deep Learning Engineer job openings:

Entry Level Computer Vision Deep Learning Engineer jobs near you

Electrical and Computer Engineering Tutor

Fayetteville, AR • Remote

Varsity Tutors
Education • 501 - 1,000 employees
Learn more about Varsity Tutorsexternal

$40/hr

Part-time

Re-posted 11 days ago

Varsity Tutors rating

5.9

Company rating: 5.9 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Electrical and Computer Engineering tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Electrical and Computer Engineering Tutor
  • Advanced Subject Mastery: Deep knowledge of circuit analysis, digital logic design, microprocessor systems, signal processing, electromagnetics, control systems, power electronics, and computer architecture. Ability to explain Kirchhoff laws, Boolean algebra, Fourier transforms, and feedback control principles while preparing students for electrical and computer engineering coursework, FE examination, and industry careers.
  • Conceptual Teaching & Problem-Solving: Skilled at breaking down circuit analysis techniques, digital system design, and signal processing algorithms. Guides students through solving AC and DC circuit problems, designing combinational and sequential logic circuits, programming microcontrollers, and analyzing frequency domain representations. Emphasizes connecting theoretical analysis to practical laboratory and design work and applies concepts to embedded systems, communications, and robotics.
  • Curriculum Awareness & Adaptive Instruction: Familiar with ECE curricula and common challenges such as applying Kirchhoff laws to complex circuits, understanding digital logic timing, and interpreting frequency domain representations. Adapts instruction using circuit simulators like LTspice, laboratory exercises, and design projects to support undergraduate ECE students from introductory circuits through advanced systems-level design courses.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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