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Remote Deep Learning Jobs in California (NOW HIRING)

Autodesk

Senior Machine Learning Engineer

San Francisco, CA · On-site +1

$123K - $169K/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 ...

Freenome

Senior Machine Learning Scientist

Brisbane, CA · On-site +1

$110K - $150K/yr

... remote. What you'll do: * Independently pursue cutting edge research in AI applied to biological ... Deep domain-specific experience in computational biology, genomics, proteomics or a related field.

Freenome

Staff Machine Learning Scientist

Brisbane, CA · On-site +1

$199K - $283K/yr

... with deep learning (DL) methods, a track record of successfully using these methods to answer ... remote. What you'll do: * Independently pursue cutting edge research in AI applied to biological ...

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Remote Deep Learning information

See California salary details

$21.1K

$128.3K

$209.6K

How much do remote deep learning jobs pay per year?

As of Jun 18, 2026, the average yearly pay for remote deep learning in California is $128,275.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,192.00 and $165,979.00 per year, depending on experience, location, and employer.

What is a Remote Deep Learning job?

A Remote Deep Learning job involves working with artificial intelligence and machine learning models, particularly using deep neural networks, from a location outside a traditional office, often from home. Professionals in this field design, build, and optimize algorithms that enable computers to learn from large amounts of data. They often work on projects such as image and speech recognition, natural language processing, or autonomous systems. The remote aspect allows flexibility and access to global opportunities, but requires strong communication skills and the ability to collaborate virtually with teams.

What are some common challenges faced by remote deep learning engineers, and how can they be addressed?

Remote deep learning engineers often encounter challenges such as limited access to high-performance computing resources, communication barriers with distributed teams, and difficulties in collaborating on large codebases or datasets. These issues can be mitigated by leveraging cloud-based platforms for scalable computing, using clear communication tools like Slack or Zoom for regular check-ins, and employing version control systems like Git for collaborative code management. Proactively setting up workflows and documentation helps ensure smooth collaboration and project continuity within a remote environment.

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

AspectRemote Deep LearningRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with neural networksBachelor's/Master's in CS, Data Science, or related; experience with algorithms and data modeling
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesDevelopment teams, data-driven projects, across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, e-commerce

Remote Deep Learning specialists focus on designing and training neural networks for AI applications, often requiring advanced knowledge of deep neural architectures. Remote Machine Learning Engineers work on developing algorithms and models for broader data analysis and predictive tasks. While both roles involve machine learning, deep learning emphasizes neural networks, whereas machine learning engineers may work with a variety of algorithms across industries.

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 strong programming skills in Python, a deep understanding of machine learning algorithms, and typically a degree in computer science, engineering, or a related field. Proficiency with frameworks like TensorFlow or PyTorch, as well as cloud computing platforms such as AWS or Google Cloud, is essential, and certifications in these technologies can be advantageous. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These skills ensure effective development, deployment, and maintenance of deep learning models while working independently in distributed teams.
What are the most commonly searched types of Deep Learning jobs in California? The most popular types of Deep Learning jobs in California are:
What are popular job titles related to Remote Deep Learning jobs in California? For Remote Deep Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Deep Learning jobs in California look for? The top searched job categories for Remote Deep Learning jobs in California are:
What cities in California are hiring for Remote Deep Learning jobs? Cities in California with the most Remote Deep Learning job openings:
Remote Deep Learning jobs near you
Infographic showing various Remote Deep Learning job openings in California as of June 2026, with employment types broken down into 77% Full Time, 22% Part Time, and 1% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $128,275 per year, or $61.7 per hour.
Lead 3D Reconstruction & Deep Learning Scientist

Lead 3D Reconstruction & Deep Learning Scientist

Geomagical Labs

Palo Alto, CA • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

An innovative R&D lab is seeking a Senior Computer Vision Researcher to drive advancements in 3D Reconstruction and Deep Learning. This role offers the chance to work on cutting-edge algorithms that will enhance consumer products, collaborating with a talented team in a dynamic environment. With a focus on creativity and entrepreneurial spirit, you will have the opportunity to publish novel research and contribute to exciting projects that impact millions of users.

Join a mission-driven team backed by a global brand and embrace the adventure of building transformative technologies in a fully remote setting. #J-18808-Ljbffr

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