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Remote Deep Learning Engineer Jobs in California

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 ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated ... We have hybrid offices in London, New York, and Singapore; this role is remote based in the San ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

We have hybrid offices in London, New York, and Singapore; this role is remote based in the San ... Experience applying Machine learning methods (including 3D graph/point cloud deep learning methods ...

Roblox

Senior Machine Learning Engineer, Economy

San Mateo, CA · On-site +1

$119K - $163K/yr

As a Senior Machine Learning Engineer on the Economy ML team, you will build models that power ... Build and iterate on deep learning retrieval and ranking models that personalize item and widget ...

DocuSign

Senior Machine Learning Engineer

San Francisco, CA · On-site +1

$186K - $300K/yr

Develop and deploy deep learning models (Transformers, LSTMs, etc.) for forecasting and anomaly ... Employee divides their time between in-office and remote work. Access to an office location is ...

RAPID EAGLE INC

Machine Learning Engineer

Sunnyvale, CA · Remote

$70 - $80/hr

Health insurance Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that ...

DocuSign

Machine Learning Engineer

San Francisco, CA · On-site +1

$164K - $266K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Deep understanding of the ML lifecycle, from data ingestion and training to production monitoring

Sustainable Talent

AI Safety Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

... Clara, CA with remote/ hybrid work options. This is a full-time (W-2) contract role. We offer ... Deep understanding of machine learning algorithms, statistical models, and data structures.

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All JobsRemote Deep Learning Engineer JobsRemote Deep Learning Engineer Jobs in California

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 June 2026, with employment types broken down into 52% Full Time, 44% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Machine Learning Engineer, Runtime & Optimization

Machine Learning Engineer, Runtime & Optimization

Waymo

Mountain View, CA • On-site, Remote

$213K - $263K/yr

Other

Posted 14 days ago

Job description

Machine Learning Engineer, Runtime & Optimization

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The ML Platform team at Waymo provides a set of tools to support and automate the lifecycle of the machine learning workflow, including feature and experiment management, model development, optimization and monitoring. These efforts have resulted in making machine learning more accessible to teams at Waymo, including Perception, Planner, Research and Simulation.

We are looking for engineers with ML software or ML systems expertise to help us improve compute performance on both cloud and car. You'll work across the entire ML stack from the system perspective, from efficient deep learning models, model compression, ML software (e.g. JAX, XLA, Triton, and CUDA), to . You will be pleasantly challenged with deploying Waymo ML models on limited computation resources. In this hybrid role, you will report to the Senior Manager of Runtime and Optimization.

You will:

  • Lead the collaboration with the world-class Waymo ML scientists in perception, planner, research and simulation. Identify opportunities in both systems and models to make ML workloads faster.
  • Lead projects from proposals through execution by developing junior engineers.
  • Analyze and improve ML system workloads on both cloud and self-driving cars.
  • Apply model optimization, efficient deep learning techniques and ML software improvements to Waymo's ML systems.

You have:

  • M.S. in CS, EE, Deep Learning or a related field
  • 2+ years of experience as a technical lead, including writing project plans, engaging with customer teams, mentoring, responsible for goals & execution, reporting status.
  • 5+ years of experience developing solutions in ML systems or ML software stack (Pytorch/JAX/TF, runtime libraries, ML compiler).
  • Deep understanding of ML system architecture, performance analysis and tools.
  • Strong Python or C++ programming skills

We prefer you have one or more of the following:

  • PhD in CS, EE, Deep Learning or a related field.
  • Familiarity with the HW architecture of ML hardware accelerators (e.g., GPU/TPU).
  • Deep knowledge of model optimization or efficient deep learning techniques for foundation models or LLM.
  • Experience with GPU HW or TPU HW and related system software.

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range $213,000—$263,000 USD

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