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Remote Deep Learning Engineer Jobs in Columbia, SC

Frontend Engineer

Columbia, SC · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

Replit Tutor

Columbia, SC · Remote

$40/hr

Deep knowledge of Replit cloud development environment including online IDE features, multi ... Emphasizes accessible development without local setup and connects Replit to learning programming ...

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

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Showing results 1-20

Remote Deep Learning Engineer information

See Columbia, SC salary details

$10.2K

$77.6K

$129.5K

How much do remote deep learning engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for remote deep learning engineer in Columbia, SC is $77,606.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $128,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Deep Learning Engineer, and why are they important?

To thrive as a Remote Deep Learning Engineer, you need a strong background in machine learning, deep learning frameworks, and programming languages like Python, usually supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (e.g., AWS, GCP), and version control systems is typically required, with certifications in AI or cloud technologies being advantageous. Excellent problem-solving, communication, and self-management skills make candidates stand out in remote environments. These skills and qualities are essential for developing effective AI solutions, collaborating across distributed teams, and driving innovation in the fast-evolving field of deep learning.

How do Remote Deep Learning Engineers typically collaborate with cross-functional teams despite working remotely?

Remote Deep Learning Engineers frequently collaborate with data scientists, product managers, and software engineers using digital tools such as Slack, Zoom, and collaborative code platforms like GitHub. Regular virtual meetings and sprint planning sessions help ensure alignment on project goals and milestones. Clear documentation and asynchronous communication are crucial for effective teamwork, especially when team members are in different time zones. This collaborative structure enables remote engineers to contribute meaningfully to model development, deployment, and integration while maintaining flexibility.

What is a Remote Deep Learning Engineer?

A Remote Deep Learning Engineer is a professional who works primarily online to design, develop, and implement deep learning models and algorithms. These engineers use neural networks and large datasets to solve complex problems in fields like computer vision, natural language processing, and more. Working remotely, they collaborate with team members via digital tools, write code, optimize models, and often deploy solutions to cloud environments. This role requires strong programming skills, experience with deep learning frameworks (like TensorFlow or PyTorch), and the ability to work independently in a distributed team setting.

What is the difference between Remote Deep Learning Engineer vs Remote Machine Learning Engineer?

AspectRemote Deep Learning EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with deep learning frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch and development, model training, neural network designData analysis, model deployment, algorithm development
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, e-commerce

Remote Deep Learning Engineers focus on designing and training neural networks for complex AI tasks, while Remote Machine Learning Engineers work on broader ML models and algorithms. Both roles require strong programming skills and knowledge of machine learning frameworks, but Deep Learning Engineers specialize in neural networks and large-scale data processing.

What are popular job titles related to Remote Deep Learning Engineer jobs in Columbia, SC? For Remote Deep Learning Engineer jobs in Columbia, SC, the most frequently searched job titles are:
What job categories do people searching Remote Deep Learning Engineer jobs in Columbia, SC look for? The top searched job categories for Remote Deep Learning Engineer jobs in Columbia, SC are:
What cities near Columbia, SC are hiring for Remote Deep Learning Engineer jobs? Cities near Columbia, SC with the most Remote Deep Learning Engineer job openings:
Structural Engineering Tutor

Structural Engineering Tutor

Varsity Tutors

Columbia, SC • Remote

$40/hr

Part-time

Posted 23 days ago


Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

13th of 21 rated private schools and tutoring


Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Structural 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 Structural Engineering Tutor
  • Advanced Subject Mastery: Deep knowledge of structural analysis methods, reinforced concrete design, steel design, timber design, foundation engineering, lateral force analysis, structural dynamics, and building code requirements. Ability to explain moment distribution, plastic analysis, seismic design principles, and load path analysis while preparing students for structural engineering courses, the PE examination, and professional structural design practice.
  • Conceptual Teaching & Problem-Solving: Skilled at breaking down indeterminate structure analysis, reinforced concrete beam design, and steel connection detailing. Guides students through computing member forces, designing beams and columns, analyzing lateral load systems, and applying building code provisions including ACI and AISC specifications. Emphasizes code-based design methodology and connects structural engineering to high-rise building, bridge, and seismic-resistant design applications.
  • Curriculum Awareness & Adaptive Instruction: Familiar with structural engineering curricula and common challenges such as analyzing indeterminate structures, applying code provisions, and designing for combined loading conditions. Adapts instruction using structural analysis software, code reference materials, and design problem sets to support advanced undergraduate and graduate civil engineering students preparing for structural specialization and PE licensure examinations.
  • 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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