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Remote Deep Learning Jobs in California (NOW HIRING)

BMO Capital Markets

Senior Data Scientist

San Francisco, CA · On-site +1

$122K - $228K/yr

Data Analytics & Reporting This is ideally a hybrid role but open to remote Role Overview We are ... Apply advanced analytics, machine learning, deep learning, and AI methodologies to build predictive ...

Waymo

Technical Recruiter, AI/ML

Mountain View, CA

Deep interest in AI research, Deep Learning, and ML technical talent markets, and the broader ecosystem of labs, companies, and people shaping the frontier * Experience navigating high-stakes ...

Mantari

Software Engineer

Torrance, CA · On-site +1

Deep fluency with at least one modern deep learning framework (JAX, PyTorch, TensorFlow, etc ... Experience with numerical weather prediction, remote-sensing data, or geospatial intelligence

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... Experience with a deep learning framework such as Tensorflow, pyTorch, or equivalent * Experience ...

Campfire

AI Engineer

San Francisco, CA · On-site +1

We are not open to remote candidates. About Us Campfire is on a mission to redefine the accounting ... Strong background in machine learning, deep learning, and natural language processing (NLP)

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All JobsDeep Learning JobsRemote Deep Learning JobsRemote Deep Learning Jobs in California

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 Jul 10, 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.

How can I make $100,000 a year working from home?

A remote deep learning professional can reach a $100,000 annual income by gaining advanced skills in machine learning frameworks, building a strong portfolio, and working for companies that offer competitive salaries or freelance projects. Earning this level often requires experience, specialized knowledge, and the ability to deliver high-quality models efficiently. Certifications in deep learning and proficiency with tools like Python, TensorFlow, or PyTorch can also enhance earning potential.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses as part of compensation packages.

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.

Which 3 jobs will survive AI?

In the field of remote deep learning, roles such as data scientists, machine learning engineers, and AI research scientists are likely to persist due to their reliance on complex problem-solving, domain expertise, and ongoing innovation. These jobs require advanced skills in programming, mathematics, and understanding of AI frameworks, making them less susceptible to automation by AI systems. Continuous learning and staying updated with new tools and techniques are essential for long-term career stability in this area.

How to make $1000 a week remotely?

Remote deep learning professionals can earn $1000 or more weekly by taking on freelance projects, consulting, or working for companies that pay competitive rates. Building a strong portfolio, acquiring relevant skills in Python and machine learning frameworks, and obtaining certifications can help increase earning potential. Consistent work and specialized expertise are key to reaching this income level remotely.

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 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, with an average salary of $128,275 per year, or $61.7 per hour.
Senior AI Algorithm Engineer in oneDNN

Senior AI Algorithm Engineer in oneDNN

Intel

Santa Clara, CA • On-site, Remote

$195K - $275K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 6 days ago

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

10th of 141 rated electronics manufacturers

Job description

Job Details:Job Description: 

The Software and AI (SAI) organization is seeking a highly skilled Software Development Engineer to contribute to the development and optimization of oneDNN, a complex, crossplatform, opensource performance library for deep learning applications (https://github.com/uxlfoundation/oneDNN).

oneDNN is a critical and highly visible component of Intel's AI strategy, powering industryleading frameworks such as OpenVINO, TensorFlow, PyTorch, ONNX Runtime, and many others.

This is a unique opportunity to work at the intersection of AI algorithms, lowlevel performance engineering, and cuttingedge Intel hardware, enabling stateoftheart neural network performance across CPUs, integrated graphics, and discrete GPUs.

Responsibilities

  • Design, develop, and optimize new features and algorithms for oneDNN targeting Intel processors, Intel Processor Graphics, and Intel discrete GPUs.

  • Perform performance analysis and optimization to achieve bestinclass deeplearning inference and training throughput on current and nextgeneration Intel platforms.

  • Develop hardwarespecific parallel algorithms, including multithreading, vectorization, and memorylayout optimizations.

  • Contribute to assemblylevel programming and low-level performance tuning for Intel microarchitectures.

  • Collaborate with crossfunctional teams across software engineering, architecture, and AI performance to ensure strong integration with Intel's broader AI ecosystem.

  • Engage with the opensource community, participate in code reviews, and maintain high-quality coding and documentation standards.

Why Join Us

  • Work on a global, highimpact opensource AI project used across leading deeplearning frameworks.

  • Influence AI performance across Intel's full hardware roadmap, from CPUs to GPUs.

  • Collaborate with top experts in deep learning, HPC, compilers, and systems optimization.

  • Contribute to technology adopted by millions of developers worldwide.

  • Engage with a highly visible opensource product and the latest Intel hardware generations.

  • Enjoy a safe, flexible, and supportive work environment-remote or onsite-focused on employee wellbeing.

  • Benefit from flexible working hours.

  • Access a comprehensive benefits package: stock program, annual and quarterly bonuses, pension plan, medical and life insurance for you and your family, peertopeer recognition, meal card, Multisport card, holiday card, employee discounts, events, and more.

Qualifications:

Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications:

  • BSc, MSc or PhD in Mathematics, Physics, Computer Science or in a related field
  • 5+ years of experience in the following areas:
    • C++
    • Algorithms and data structures, or Mathematical background
    • Low-level Performance Optimizations, preferably on GPUs

Preferred Qualifications:

  • 3 years+ High-performance computing (HPC) applications development
  • 1 year+ Machine learning and deep learning algorithms
  • 1 year+ Agile software development environment
  • 1 year+ Intel development tools.
  • Software libraries design and architecture
  • Background in Linear algebra solvers, matrix-vector operations, or Fast Fourier Transforms
  • Software development on Linux
  • GPU optimizations (OpenCL, CUDA, SYCL/DPC++, C for Metal or similar)
  • Parallel programming (OpenMP, TBB, or MPI)
Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Oregon, HillsboroAdditional Locations:US, California, Santa ClaraBusiness group:Silicon and Platform Engineering Group (SPE): Deliver breakthrough silicon and platform solutions that deliver industry-leading products today while also defining the next generation of computing experiences.Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/ABenefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $195,200.00-275,580.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

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About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

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