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Remote Deep Learning Engineer Jobs in California

Cisco

Principal Machine Learning Engineer

San Jose, CA · On-site +1

$291K - $369K/yr

We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco ... Partner with executive leadership, engineering, product, and data science teams to ensure AI ...

Spotter

Machine Learning Scientist

Culver City, CA · Remote

... and Engineering to translate customer problems into machine learning solutions. * Staying current with advances in reinforcement learning, recommendation systems, ranking, personalization, deep ...

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Remote Deep Learning Engineer information

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.
What are the most commonly searched types of Deep Learning Engineer jobs in California? The most popular types of Deep Learning Engineer jobs in California are:
What are popular job titles related to Remote Deep Learning Engineer jobs in California? For Remote Deep Learning Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Deep Learning Engineer jobs in California look for? The top searched job categories for Remote Deep Learning Engineer jobs in California are:
What cities in California are hiring for Remote Deep Learning Engineer jobs? Cities in California with the most Remote Deep Learning Engineer job openings:
Remote Deep Learning Engineer jobs near you
Infographic showing various Remote Deep Learning Engineer job openings in California as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution.
Senior Applied Researcher & Lead - 3D Reconstruction & Deep Learning

Senior Applied Researcher & Lead - 3D Reconstruction & Deep Learning

Geomagical Labs

Palo Alto, CA • On-site, Remote

$180K - $250K/yr

Full-time

Posted 23 days ago

Job description

Geomagical Labs is a 3D R&D Lab, in partnership with IKEA. We create magical mixed-reality experiences for hundreds of millions of users, using computer vision, neural networks, graphics, and computational photography. Last year we launched IKEA Kreativ, and we're excited for what's next!
We have an opening in our lab for a senior computer vision researcher, with 3D Reconstruction and Deep Learning expertise, to develop and improve the underlying algorithms powering our consumer products. We are looking for highly-motivated, creative, applied researchers with entrepreneurial drive, that are excited about building novel technologies and shipping them all the way to the hands of millions of customers!
Requirements
  • Ph.D. and 3+ years of experience, or Master's and 6+ years of experience, focused on 3D Computer Vision and Deep Learning.
  • Experience building Deep Learning models for 3D Vision tasks, like Depth Estimation, Room Layout Estimation, Inverse Rendering, Pose Estimation or 3D Scene Understanding.
  • Familiarity with modern methods for Novel View synthesis, like NeRFs/Gaussian Splats and Diffusion models.
  • Familiarity with classical methods for 3D Reconstruction: SfM/SLAM, Multi-view Stereo, RGB-D Fusion.
  • Expertise in ML frameworks and libraries, e.g. PyTorch.
  • Highly productive in Python. Ability to architect and implement complex systems at the micro and macro level.
  • Experience in developing technologies that got integrated into products, as well as post-launch performance tracking and shipping improvements.
  • Entrepreneurial: Adventurous, self-driven, comfortable under uncertainty, with a desire to make systems work end-to-end.
  • Innovative: with a track record of patents and/or first-authored publications at leading workshops or conferences such as CVPR, ECCV/ICCV, SIGGRAPH, ISMAR, NeurIPS etc.
  • [Bonus] Familiarity with Computer Graphics and Computational Photography.
  • [Bonus] Comfortable with C++.

Benefits
  • Join a mission-driven R&D lab, strategically backed by an influential global brand.
  • Work in a dynamic team of computer vision, AI, computational photography, AR, graphics, and design professionals, and successful serial entrepreneurs.
  • Opportunity to publish novel and relevant research.
  • Fully remote work available to people living in the USA or Canada.
  • Headquartered in downtown Palo Alto, California --- an easy walk from restaurants, coffee shops and Caltrain commuter rail.
  • The USA base salary for this full-time position ranges from $180,000 to $250,000 determined by location, role, skill, and experience level.
  • Geomagical Labs offers a comprehensive set of benefits, and for qualifying roles, substantial incentive grants, vesting annually.

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