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Remote Deep Learning Engineer Jobs in North, SC (NOW HIRING)

For over 10 years, Andela has connected its customers with top global, remote technical talent from ... We are seeking a Staff Machine Learning Engineer to join our dynamic team specializing in a ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

For over 10 years, Andela has connected its customers with top global, remote technical talent from ... Deep understanding of enterprise client dynamics - able to engage with CHROs, CTOs, and Business ...

Remote, United States Date Posted: May 5, 2026 Employment Type: Intern Job ID: R-1948 Description ... Interest in learning DevOps tooling - Terraform, Serverless, AWS CloudFormation, Azure Front Door ...

Remote - Anywhere in the contiguous US Compensation: Anticipated compensation for this position is ... Develop a deep understanding of how data flows through complex systems and work with intricate data ...

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Remote Deep Learning Engineer information

See North, SC salary details

$10.2K

$77.8K

$129.9K

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

As of May 28, 2026, the average yearly pay for remote deep learning engineer in North, SC is $77,842.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,800.00 and $129,000.00 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 cities near North, SC are hiring for Remote Deep Learning Engineer jobs? Cities near North, SC with the most Remote Deep Learning Engineer job openings:
Infographic showing various Remote Deep Learning Engineer job openings in North, SC as of May 2026, with employment types broken down into 1% Internship, 53% Full Time, 40% Part Time, 1% Temporary, and 5% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $77,842 per year, or $37.4 per hour.
Staff Machine Learning Engineer

Staff Machine Learning Engineer

Andela

North, SC • Remote

Other

Medical, Retirement, PTO

Posted 11 days ago


Job description

About Andela:

At Andela, we know brilliance is evenly distributed around the world, but opportunity is not. For over 10 years, Andela has connected its customers with top global, remote technical talent from over 135 countries with the majority residing in emerging markets like Africa and Latin America.

As one of the world's largest talent marketplaces, Andela gives companies greater flexibility to quickly deploy qualified technologists. With talent highly skilled in advanced technologies to support Application Development, Artificial Intelligence, Cloud & DevOps, Data Engineering, and much more, customers experience 33% faster project delivery. The company's exclusive AI-powered platform, Andela Talent Cloud, is the industry's only unified platform managing the complete global talent lifecycle and enables customers to fill individual roles or engage fully managed teams up to 66% faster.

Andela is on the precipice of two breakout industry transformations: one in staffing/hiring and the other in software development, both accelerated by generative AI.

Join us and change the world.

Job Summary:

We are seeking a Staff Machine Learning Engineer to join our dynamic team specializing in a technology marketplace platform for engineering talent and delivering cutting-edge Generative AI (GenAI) managed solutions for enterprise clients.

In this strategic role, you will be responsible for designing, developing, and deploying scalable machine learning algorithms and systems. Your proven experimental mindset and extensive practical experience will be key in optimizing our platform's performance, improving our GenAI offerings, and driving measurable impact across diverse business use cases.

Exceptional Leadership:

As an Andelan, you don't need to be a people manager to be a leader, and you'll serve as a role model for the rest of the company. Think about the feedback your peers typically give you - if it usually sounds like the below, we want to hear from you.

  • Low ego, low drama, servant leader: You share credit, take blame. You like being wrong because it means someone else had an even better idea.

  • One team mentality: You break silos across teams. You put the company and mission first above yourself and team alone.

  • Great listener, hungry for feedback: You're always seeking to improve - our product, our business, yourself. You solicit diverse opinions and deeply listen.

  • Owner, not renter: You see a problem, you fix it or find someone who will. The buck stops with you.

  • Player-coach: You roll up your sleeves and get scrappy. You do this by proactively collaborating with your team while actively engaging in important details.

  • Business problem solver: You're not just a functional expert; you consistently get praise for approaching your function through the lens of solving business problems.

Key Responsibilities:

  • Design, build, and maintain robust and scalable machine learning models and pipelines tailored to enhance our marketplace platform and GenAI managed solutions.

  • Lead experimentation processes, rigorously validating models through A/B testing, statistical analyses, and iterative improvements.

  • Collaborate closely with data scientists, software engineers, product managers, and client teams to define requirements, build solutions, and deliver impactful, high-quality products.

  • Continuously improve existing ML solutions, ensuring they are performant, efficient, and aligned with evolving business objectives.

  • Ensure adherence to best practices in code quality, data integrity, and infrastructure reliability, with a strong emphasis on scalability and maintainability.

  • Mentor junior engineers and contribute actively to team growth, knowledge sharing, and fostering an experimental, innovation-driven engineering culture.

  • Stay current with advancements in machine learning, AI methodologies, and marketplace technologies to propose innovative solutions proactively.

Qualifications:

  • Bachelor's degree or higher in Computer Science, Engineering, Data Science, or a related technical field.

  • Proven experience implementing machine learning algorithms and solutions at scale in production environments.

  • Demonstrated experimental mindset, adept at hypothesis testing, experimentation design, and rigorous validation techniques.

  • Expert proficiency in Python and experience with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and related ML technologies.

  • Extensive experience building and deploying scalable ML pipelines and working within cloud infrastructure environments such as AWS, GCP, or Azure.

  • Strong understanding of data structures, algorithm design, and performance optimization techniques.

  • Exceptional problem-solving abilities, coupled with excellent collaboration and communication skills.

  • Track record of technical leadership, mentorship, and successful cross-functional collaboration in agile, dynamic environments.

#LI-REMOTE

#LI-RDR

Benefits

  • Fully Remote work culture - we hire globally and all of our roles are fully remote!

  • Bring your own device stipend - buy your own laptop with funds from Andela

  • Flexible working hours

  • Equity (as a part of the compensation package)

  • Healthcare, 401k / pension

  • Generous Paid Time Off, Parental Leave, Compassionate Leave

And more to come! We're on a journey to reimagine global benefits at Andela.


At Andela, we outcompete through diversity. We know that our strengths lie in the multiplicity of talents, perspectives, backgrounds & orientations resident in our community and we take pride in that. Andela is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits discriminatory practices. Andela provides equal employment opportunities and workplace to all employees and applicants without regard to factors including but not limited to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, pregnancy (including breastfeeding), genetic information, HIV/AIDS or any other medical status, family or parental status, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. This commitment applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Our policies expressly prohibit any form of harassment and/or discrimination as stated above.
Andela is home for all, come as you are.