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Remote Deep Learning Engineer Jobs (NOW HIRING)

NBCUniversal

Deep Learning Engineer

They are seeking a Deep Learning Engineer to implement core algorithms at the intersection of ... Interact with remote machines via a Unix shell to deploy and test code on large-scale geospatial ...

Autodesk

Senior Machine Learning Engineer

OR · On-site +1

$104K - $143K/yr

This role is currently open to remote work. Candidates must be located near one of our hub ... Train, adapt, and improve machine learning models, including classical ML models, deep learning ...

Autodesk

$86K - $119K/yr

This role is currently open to remote work. Candidates must be located near one of our hub ... Train, adapt, and improve machine learning models, including classical ML models, deep learning ...

Autodesk

Senior Machine Learning Engineer

California, MD · On-site +1

$100K - $137K/yr

This role is currently open to remote work. Candidates must be located near one of our hub ... Train, adapt, and improve machine learning models, including classical ML models, deep learning ...

Autodesk

Senior Machine Learning Engineer

New York, NY · On-site +1

$114K - $157K/yr

This role is currently open to remote work. Candidates must be located near one of our hub ... Train, adapt, and improve machine learning models, including classical ML models, deep learning ...

Redhat

Senior Machine Learning Engineer

Boston, MA · On-site +1

$174K - $287K/yr

Strong understanding of machine learning and deep learning fundamentals with experience in one or ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Overstory

Role & Team As a Staff Machine Learning Engineer at Overstory, you will lead the development and ... Strong background in deep learning, computer vision, or remote sensing * Skilled in designing end ...

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Remote Deep Learning Engineer information

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$11K

$83.9K

$140K

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

As of Jun 7, 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.

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 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.

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 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.
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:
What states have the most Remote Deep Learning Engineer jobs? States with the most job openings for Remote Deep Learning Engineer jobs include:
What job categories do people searching Remote Deep Learning Engineer jobs look for? The top searched job categories for Remote Deep Learning Engineer jobs are:
Remote Deep Learning Engineer jobs near you
Infographic showing various Remote Deep Learning Engineer job openings in the United States as of May 2026, with employment types broken down into 92% Full Time, 2% Part Time, 2% Temporary, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $83,885 per year, or $40.3 per hour.

Deep Learning Engineer

NBCUniversal

Remote

Full-time

Posted 3 days ago

Job description

Job Summary:
NBCUniversal is one of the world's leading media and entertainment companies. They are seeking a Deep Learning Engineer to implement core algorithms at the intersection of computer vision and computer graphics, helping to turn high dimensional data into high-fidelity content.
Responsibilities:
• Algorithm Implementation: Implement core deep-learning, computer vision, and (inverse-)procedural modeling algorithms in Python. You will rely on mathematical techniques from linear algebra, probability, and geometry to build these systems.
• Applied Research: Apply cutting-edge research in machine learning and computer graphics to solve real-world problems.
• Cross-Functional Coordination: Work closely with our cofounders to understand high-level product vision and translate customer requirements into technical milestones.
• Scaling & Deployment: Interact with remote machines via a Unix shell to deploy and test code on large-scale geospatial datasets, ultimately generating 3D content for our customers.
• Code Management: Use Git to manage source code and modularize complex implementation tasks into manageable, executable components.
Qualifications:
Required:
• Graduate degree in Data Science, Computer Science, or a related field (or equivalent deep technical experience).
• Proven experience as a DL Engineer or Applied Research Engineer in a fast-paced environment.
• Prior experience in industries with complex multi-disciplinary teams such as robotics, smart grids, precision agriculture, game development, or aerospace is highly valued.
• Fluency with Python, Git, and the Unix shell.
• Proven experience training and debugging artificial neural networks or adjacent experience (e.g., gradient descent, nonlinear optimization, or classical machine learning).
• A strong mathematical background covering linear algebra, statistics, probability, and numerical methods.
• Effective collaboration and the ability to work closely with a founding team.
• High attention to detail and the ability to meet key R&D milestones in an early-stage startup environment.
Preferred:
• Preferred prior experience with modern C++ to interface with data ingestion and product pipelines.
Company:
NBCUniversal is a media company that provides entertainment and news development, production, distribution, and marketing services. It is a sub-organization of Comcast. Founded in 1912, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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