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Remote Deep Learning Engineer Jobs (NOW HIRING)

Occulytics Inc.

Deep Learning Engineer

They are seeking a Deep Learning Engineer to build and deploy cutting-edge deep learning models that transform market intelligence and drive data-driven decision making across the industry.

SumerSports LLC

Senior Deep Learning Engineer

$155K - $185K/yr

Position Summary As a Senior Deep Learning Engineer on the Football Modeling side, you'll work ... Remote working environment * A flexible, unlimited time off policy * Generous paid holiday schedule ...

Merican

Data Science & Machine Learning Engineer

$117K - $140K/yr

Remote, USA (Client Location ZIP: 01730) Duration: 6 Months Contract to Hire We are seeking an ... Hands-on experience with Deep Learning frameworks such as TensorFlow and PyTorch. * Build robust ...

Aston Carter

Machine Learning Engineer

Manhattan, NY · Remote

$125/hr

REMOTE Machine Learning Engineer This project-based consulting role invites an experienced Machine ... Experience with deep learning techniques and frameworks. * Experience in Natural Language ...

Jobgether

$80K - $110K/yr

Join a fully remote, mission-driven climate technology environment where machine learning and ... Develop and deploy new vegetation intelligence products using machine learning, deep learning ...

Nvidia

Deep Learning Compiler Engineer

OR · On-site +1

We are hiring software engineers for the Tensor IR & CUDA Tile team. NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs in generative AI, large ...

Nvidia

Deep Learning Compiler Engineer

OR · On-site +1

We are hiring software engineers for the Tensor IR & CUDA Tile team. NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs in generative AI, large ...

Nvidia

Senior Deep Learning Frameworks CUDA Software Engineer

OR · On-site +1

$122K - $161K/yr

We are looking for a motivated Deep Learning engineer to bring advanced CUDA features and Distributed Runtime technologies into AI stacks, including PyTorch, TRT-LLM, vLLM, SGLang, JAX, etc. You will ...

New

Nvidia

Senior Deep Learning Compiler Engineer

OR · On-site +1

$104K - $143K/yr

NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling ...

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Remote Deep Learning Engineer information

See salary details

$11K

$83.9K

$140K

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

As of Aug 31, 2026, the average yearly pay for remote deep learning engineer in the United States is $83,885.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,000.00 and $139,000.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a remote deep learning engineer?

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 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.

More about Remote Deep Learning Engineer jobs

What cities are hiring for Remote Deep Learning Engineer jobs?

Cities with the most Remote Deep Learning Engineer job openings:

What are the most commonly searched types of Deep Learning Engineer jobs?

The most popular types of Deep Learning Engineer jobs are:

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Remote Deep Learning Engineer jobs near you
Infographic showing various Remote Deep Learning Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $83,885 per year, or $40.3 per hour.

Deep Learning Engineer

Remote

Occulytics Inc.
See more jobs at Occulytics Inc.external

Full-time

Re-posted 7 days ago

Job description

Job Summary:
Occulytics Inc. is an innovative startup on a mission to fundamentally change the senior living industry. They are seeking a Deep Learning Engineer to build and deploy cutting-edge deep learning models that transform market intelligence and drive data-driven decision making across the industry.
Responsibilities:
• Design, implement, and optimize deep learning architectures for predictive modeling, market forecasting, customer segmentation, and lead scoring to extract actionable insights from complex demographic and behavioral datasets in the senior living industry.
• Build robust, scalable data pipelines for training and inference, ensuring efficient data preprocessing, feature engineering, and model deployment workflows that handle large-scale healthcare and demographic datasets.
• Stay current with latest developments in deep learning research, experiment with novel architectures and techniques, and translate cutting-edge academic research into practical solutions for senior living market intelligence.
• Deploy models to production environments with monitoring, versioning, and automated retraining capabilities. Collaborate with engineering teams to integrate ML capabilities into customer-facing products and internal analytics platforms.
• Partner with data scientists, product managers, and domain experts to understand business requirements, translate them into technical specifications, and communicate model performance and insights to non-technical stakeholders.
Qualifications:
Required:
• 3+ years of hands-on experience developing and deploying deep learning models in production environments.
• Strong portfolio of ML projects demonstrating technical depth and practical application.
• Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).
• Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes), and MLOps tools (MLflow, Weights & Biases, or similar).
• Strong mathematical foundation in statistics, linear algebra, and optimization.
• Proven experience with predictive modeling, segmentation algorithms, and forecasting techniques.
• Ability to work with complex demographic and behavioral datasets and optimize model performance for production deployment.
• Excellent written and verbal communication skills with ability to explain complex technical concepts to business stakeholders and contribute to technical documentation and knowledge sharing.
Preferred:
• Experience with predictive analytics, consumer behavior modeling, or demographic analysis.
• Background in market research, business intelligence, or customer analytics.
Company:
Occulytics provides AI-powered solutions built exclusively for senior living sales and marketing. Founded in 2024, the company is headquartered in Chicago, USA, with a team of 2-10 employees. The company is currently Early Stage.

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