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Remote Google Machine Learning Engineer Jobs in Pasadena, CA

Netflix

Software Engineer (L4) - CKG

Los Angeles, CA · On-site +1

  • Medical

  • Life

  • Retirement

  • PTO

You will collaborate closely with other Data Engineers, Machine Learning Engineers, Scientists, and business analysts to build scalable access patterns for them.Who you are: * You would consider ...

EDO

Senior Platform Engineer

Los Angeles, CA · On-site +1

$112K - $154K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... remote work days. The Role EDO is looking for a Senior Platform Engineer to help accelerate our ... machine learning engineers ship safely and efficiently. Our environment is AWS-heavy and data ...

Motorola

Senior DevOps Engineer (US REMOTE)

Culver City, CA · Remote

$140K - $170K/yr

  • Medical

  • Dental

  • Retirement

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

Escalon

Chief Technology Officer - Remote

Santa Monica, CA · Remote

$200K - $225K/yr

... machine learning to help predict and improve audience response to creative work across TV, film ... not a dogmatic engineer. ● Entertainment industry background is not required. ● Must be ...

New

SpaceX

Software Engineer (Starship)

Hawthorne, CA · On-site +1

$145K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with data analysis and machine learning libraries such as Pandas, NumPy, and PyTorch ... This position is based in Hawthorne, CA and requires being onsite - remote work not considered ...

Magnite

Senior Engineer

Los Angeles, CA · On-site +1

$135K - $175K/yr

  • Medical

  • Life

  • Retirement

Remote At Magnite, we cultivate an environment of continuous growth and collaboration. Our work ... Through a combination of near-real-time data pipelines, machine learning techniques, and real-time ...

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All JobsGoogle Machine Learning Engineer JobsRemote Google Machine Learning Engineer JobsRemote Google Machine Learning Engineer Jobs in Pasadena, CA

Remote Google Machine Learning Engineer information

See Pasadena, CA salary details

$34.4K

$140.5K

$211.1K

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

As of Aug 16, 2026, the average yearly pay for remote google machine learning engineer in Pasadena, CA is $140,462.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,700.00 and $169,100.00 per year, depending on experience, location, and employer.

What is a remote Google machine learning engineer?

A Remote Google Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models and artificial intelligence solutions, often using Google Cloud technologies, while working from a remote location. These engineers collaborate with cross-functional teams to solve complex business problems, optimize data pipelines, and improve model performance. Their responsibilities typically include data preprocessing, model selection, training, evaluation, and deployment, all while ensuring scalability and security. Working remotely allows them to contribute to projects from anywhere, leveraging cloud-based tools and collaboration platforms.

What are the key skills and qualifications needed to thrive as a remote Google machine learning engineer?

To thrive as a Remote Google Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning algorithms, typically supported by a relevant degree and experience in building scalable models. Proficiency with tools such as TensorFlow, Python, Google Cloud Platform (GCP), and familiarity with distributed systems is essential. Excellent problem-solving, communication, and self-management skills are crucial for effective remote collaboration and innovation. These capabilities enable engineers to deliver impactful machine learning solutions while seamlessly integrating with global Google teams.

How do remote Google machine learning engineers typically collaborate with cross-functional teams while working from different locations?

Remote Google Machine Learning Engineers often use a combination of video conferencing, cloud-based collaboration tools, and shared code repositories to work closely with data scientists, product managers, and software engineers. Regular stand-up meetings, sprint planning sessions, and detailed documentation help ensure everyone is aligned and project milestones are met. Despite being remote, engineers are encouraged to proactively communicate progress, share insights, and participate in code reviews to maintain a strong team dynamic and drive successful project outcomes.

What are popular job titles related to Remote Google Machine Learning Engineer jobs in Pasadena, CA?

For Remote Google Machine Learning Engineer jobs in Pasadena, CA, the most frequently searched job titles are:

What job categories do people searching Remote Google Machine Learning Engineer jobs in Pasadena, CA look for?

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Remote Google Machine Learning Engineer jobs near you
Infographic showing various Remote Google Machine Learning Engineer job openings in Pasadena, CA as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $140,462 per year, or $67.5 per hour.

Software Engineer (L4) - CKG

Netflix

Los Angeles, CA • On-site, Remote

Full-time

Medical, Life, Retirement, PTO

Re-posted 13 days ago

Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

70th of 76 rated media

Job description

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

Netflix is the world's leading internet streaming service with over 250 million members in 190 countries. Our members enjoy a wide variety of streamed videos per day, using over 1000 types of devices, generating more than a third of downstream Internet traffic in North America. The Content Knowledge Graph team within Data Science & Engineering equips scientists, engineers, and business executives with a global understanding of the entertainment industry "on & off-service". Our flagship product, Netflix KG ("Hitch"), a data and analytics foundational layer, is a data pillar for 100s of diverse use cases across Netflix: from enabling content and marketing business executives to make better data-driven decisions to equipping AI/ML scientists with signals that power billions of daily predictions, to providing key inputs to engineering teams building business-critical applications. Hitch is a foundation for innovation that is helping to fuel Netflix's long-term growth.We are looking for a Full Stack Software Engineer to own and scale our online data systems while supporting high-visibility data pipelines and products. As part of this team, you will work on a diverse tech stack to build insightful tools, apps, services, and libraries that describe the entities, interactions, and usage patterns across the Netflix Knowledge Graph. You will collaborate closely with other Data Engineers, Machine Learning Engineers, Scientists, and business analysts to build scalable access patterns for them.Who you are:
  • You would consider yourself a full-stack developer. You have experience in both backend and frontend development for a good part of your career and expertise in owning and maintaining backend services.
  • You are proficient in designing, building, and operating API layers that support various front-end user experiences. Experience with GraphQL and Node.js is a big plus.
  • API and SDK development: You have built, maintained, evolved, and/or sunset a variety of APIs and libraries/SDKs.
  • You are proficient in working with Javascript, React, or other similar technologies. Proficiency in Python or Java is a big plus.
  • Comfortable with SQL and using big data technologies (e.g. Hive, Presto, Spark, Iceberg, etc) on medium to large-scale data.
  • You are willing to learn and own all areas of the software lifecycle: design, development, test, deployment, operation, and support.
  • Conceptually familiar or interested in learning graph technologies (e.g. databases, data models, query languages)
  • You have strong communication skills and can collaborate with cross-functional team members and partners on projects that drive high-impact outcomes
  • Excited about learning new business domains, demonstrating excellence, and growing your career 
What you will do:
  • Work cross-functionally to build new services, tools, and data models to develop easy-to-use data access patterns for knowledge graphs.
  • Building intuitive user interfaces backed by data in offline systems and APIs
  • Evaluate new technologies and approaches to streamline and improve our rapid application development tooling and conventions.
  • Regularly learn new systems and tools as the Netflix platform and ecosystem evolve.
  • Understand business requirements and provide tools that empower teams to innovate on top of the Netflix KG
  • Join a stunning team with diverse skill sets (data engineering, machine learning, analytical engineering and software engineering),  partnering closely with data science, analytics, and business counterparts
Netflix offers amazing co-workers, new technology, fascinating analytical and technical challenges, and a Freedom & Responsibility Culture that's truly outstanding. It's worth learning more: http://jobs.netflix.com/cultureOur compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000 - $720,000Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

What Netflix employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997

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