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Remote Machine Learning Engineer Jobs in California

Wings of Destiny

Machine Learning Engineer

Malibu, CA · Remote

Remote Commitment: 5-10 hours per week (flexible) Duration: 3-6 months (with potential extension ... Role Overview We are seeking a Machine Learning Engineer (Volunteer) to help design, build, and ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Nearmap

Machine Learning Engineer

Carlsbad, CA · On-site +1

$101.10K - $138.50K/yr

About the Role We're looking for a Machine Learning Engineer to join our Insurance AI team. You'll ... You communicate clearly, collaborate well with remote teams, and care about shipping things that ...

Nearmap

Machine Learning Engineer

Carlsbad, CA · On-site +1

$101.10K - $138.50K/yr

About the Role We're looking for a Machine Learning Engineer to join our Insurance AI team. You'll ... You communicate clearly, collaborate well with remote teams, and care about shipping things that ...

nearmap

Machine Learning Engineer

Carlsbad, CA · On-site +1

$101.10K - $138.50K/yr

About the Role We're looking for a Machine Learning Engineer to join our Insurance AI team. You'll ... You communicate clearly, collaborate well with remote teams, and care about shipping things that ...

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$125.80K - $172.70K/yr

Senior Machine Learning Engineer Brisbane, California About This Opportunity: At Freenome, we are ... remote. What You'll Do: * Implement and refine DL pipelines on distributed computing platforms ...

Waymo

Machine Learning Engineer - Mapping

Mountain View, CA · On-site +1

$204K - $259K/yr

Machine Learning Engineer - Mapping Waymo is an autonomous driving technology company with the ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

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Remote Machine Learning Engineer information

See California salary details

$31.1K

$127.1K

$191K

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

As of May 28, 2026, the average yearly pay for remote machine learning engineer in California is $127,083.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $153,000.00 per year, depending on experience, location, and employer.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the key skills and qualifications needed to thrive in the Remote Machine Learning Engineer position, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.
More about Remote Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in California? The most popular types of Machine Learning Engineer jobs in California are:
What are popular job titles related to Remote Machine Learning Engineer jobs in California? For Remote Machine Learning Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer jobs in California look for? The top searched job categories for Remote Machine Learning Engineer jobs in California are:
What cities in California are hiring for Remote Machine Learning Engineer jobs? Cities in California with the most Remote Machine Learning Engineer job openings:
Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in California as of May 2026, with employment types broken down into 90% Full Time, 7% Part Time, 1% Temporary, and 2% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $127,083 per year, or $61.1 per hour.

Machine Learning Engineer

Your Personal AI

San Francisco, CA • On-site, Remote

Full-time

Posted 6 days ago

Job description

We are looking for a highly skilled and innovative Machine Learning Engineer to join our dynamic team at Your Personal AI. In this role, you will be responsible for designing, developing, and deploying state-of-the-art machine learning models that drive the core of our AI-driven solutions. You will collaborate closely with cross-functional teams to identify challenges, create scalable algorithms, and implement machine learning systems that solve real-world problems.
Machine Learning Engineer at Your Personal AI
We are looking for a talented Machine Learning Engineer to join our AI Research and Development department at Your Personal AI. As a Machine Learning Engineer, you will be responsible for developing and implementing machine learning algorithms to enhance our AI technologies.
Your main tasks will include analyzing and interpreting complex data sets, collaborating with cross-functional teams to design and deploy machine learning models, and continuously improving our AI systems.
  • Develop and implement machine learning algorithms
  • Analyze and interpret complex data sets
  • Collaborate with cross-functional teams
  • Design and deploy machine learning models
  • Continuously improve AI systems

If you are passionate about AI and have a strong background in machine learning, we would love to hear from you. Join us at Your Personal AI and be part of a dynamic team driving innovation in artificial intelligence.
Job Requirements for Machine Learning Engineer at Your Personal AI
Please ensure that the job requirements for the Machine Learning Engineer role at Your Personal AI in the AI Research and Development department include the following:
  • Strong proficiency in machine learning algorithms and techniques
  • Experience with programming languages such as Python, R, or Java
  • Ability to work with large datasets and perform data analysis
  • Knowledge of deep learning frameworks like TensorFlow or PyTorch
  • Experience in developing and deploying machine learning models
  • Strong problem-solving skills and analytical thinking
  • Excellent communication and teamwork abilities

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