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Remote Google Machine Learning Engineer Jobs in Pasadena, CA

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ...

Senior Software Engineer - Remote

Los Angeles, CA · Remote

$132K - $174K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

The Role We are seeking a Software Engineer to interface with embedded systems, machine learning ... models, and 3D game engines. This role focuses on building reliable, reusable systems that build ...

CONFIDENTIAL SEARCH Head of Engineering Full-Time | Remote | Light Travel (~5%) About Our Client ... machine learning to help predict and improve audience response to creative work across TV and film.

Foundational understanding of core Machine Learning (ML) and Large Language Model (LLM) concepts ... remote each year, and Time Off for vacation and sick leave. Through Jazwares Cares, you will have ...

New

Senior Platform Engineer

Los Angeles, CA · On-site +1

$112K - $154K/yr

... 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 ...

Senior Platform Engineer

Los Angeles, CA · On-site +1

$112K - $154K/yr

... 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 ...

Showing results 41-60

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 Sep 6, 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?

The top searched job categories for Remote Google Machine Learning Engineer jobs in Pasadena, CA are:

What cities near Pasadena, CA are hiring for Remote Google Machine Learning Engineer jobs?

Cities near Pasadena, CA with the most Remote Google Machine Learning Engineer job openings:

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.

Postdoc: Millimeter-Wave Radar Systems, Remote Sensing, and Machine Learning

JPL

Pasadena, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago


Key responsibilities

  • Conduct independent research on millimeter-wave radar systems for atmospheric remote sensing.

  • Develop and evaluate calibration techniques, retrieval algorithms, and advanced data analysis methods for cloud and precipitation observations.

  • Apply machine learning and statistical approaches to radar measurements and geophysical retrievals.


Job description

Job Details
New ideas are all around us, but only a few will change the world. That's our focus at JPL. We ask the biggest questions, then search the universe for answers-literally. We build upon ideas that have guided generations, then share our discoveries to inspire generations to come. Your mission-your opportunity-is to seek out the answers that bring us one step closer. If you're driven to discover, create, and inspire something that lasts a lifetime and beyond, you're ready for JPL.
Located in Pasadena, California, JPL has a campus-like environment situated on 177 acres in the foothills of the San Gabriel Mountains and offers a work environment unlike any other: we inspire passion, foster innovation, build collaboration, and reward excellence.
JPL is unique among NASA Centers in that its staff are Caltech employees, yet can access NASA technical resources. Cross-discipline teamwork is standard here: colleagues across JPL's science and engineering organizations and on Caltech's academic campus often work together. Learning to speak and understandother disciplines' languages is a doorway to the creativity needed to do what has not been done before. JPL staff are encouraged to create mission concepts that address humanity's core questions through a combination of science and technology. They are supported in developing ideas into proposals andhardware, and in communicating funded missions' results to the scientific community and the broader public. JPL seeks to employ scientists and engineers who are passionate about lifelong learning and excited to both contribute to and lead team efforts. We emphasize the importance of partnering across discipline boundaries and creating a friendly, constructive work environment to overcome space exploration's challenges. The Postdoctoral scholars at JPL benefit from an informal mentoring network, an annual conference showcasing their results, a dedicated seminar series, exposure to diverse career paths, and social connections across the JPL and Caltech community for advice on housing, childcare, and other aspects of living in southern California.
JPL's RF Remote Sensing Systems and Technology Section is seeking a postdoc who will serve as a key bridge between radar hardware development and science applications, conducting research that advances end-to-end radar system performance and enables innovative approaches for cloud and precipitation observations. The position offers opportunities to develop and apply machine learning techniques to radar observations, improve calibration and retrieval methodologies, analyze large atmospheric datasets, and publish high-impact scientific results that advance the state of the art in microwave remote sensing.
Research Responsibilities
  • Conduct independent research on millimeter-wave radar systems for atmospheric remote sensing.
  • Develop and evaluate calibration techniques, retrieval algorithms, and advanced data analysis methods for cloud and precipitation observations.
  • Apply machine learning and statistical approaches to radar measurements and geophysical retrievals.
  • Support radar system characterization, testing, and performance evaluation.
  • Analyze large observational datasets and develop software tools for scientific data processing.
  • Publish research findings in peer-reviewed journals and present results at national and international conferences.
  • Collaborate with multidisciplinary teams spanning radar hardware development, remote sensing science, and data analytics.

Required Qualifications
  • Ph.D. in Electrical Engineering, Atmospheric Science, Remote Sensing, Physics, Computer Science, Earth Science, or a closely related field.
  • Experience in radar remote sensing, RF systems, microwave instrumentation, or related experimental research.
  • Strong background in scientific programming using Python, MATLAB, or similar programming languages.
  • Experience analyzing large scientific datasets using statistical or computational methods.
  • Demonstrated record of peer-reviewed publications and excellent written and oral communication skills.

The appointee will carry out research in collaboration with JPL advisor, resulting in publications in the open literature.
Applicants may be subject to additional program requirements by NASA. Postdoc positions are awarded for a minimum of one-year period and may be renewed up to a maximum of four years. Candidates should submit the following to this site: CV, representative publications, contact information for three references, and a cover letter stating their research accomplishments and interests.
JPL has a catalog of benefits and perks that span from the traditional to the unique. This includes a variety of health, dental, vision, wellbeing, and retirement plans, paid time off, learning, rideshare, childcare, flexible schedule, parental leave and many more. Our focus is on work-life balance, and living healthy, fulfilling lives as we Dare Mighty Things Together. For benefits eligible positions, benefits are effective the first day of the month coincident with or immediately following the employee's start date.
For further benefits information click Benefits and Perks
The hiring range displayed below is specifically for those who will work in or reside in the location listed. In extending an offer, Jet Propulsion Laboratory considers factors including, but not limited to, the candidate's job related skills, experience, knowledge, and relevant education/training.
The typical full time equivalent annual hiring range for this job in Pasadena, California.
$83,820 - $83,820
JPL is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, citizenship, ancestry, age, marital status, physical or mental disability, medical condition, genetic information, pregnancy or perceived pregnancy, gender, gender identity, gender expression, sexual orientation, protected military or veteran status or any other characteristic or condition protected by Federal, state or local law.
In addition, JPL is a VEVRAA Federal Contractor.
EEO is the Law.
EEO is the Law Supplement
Pay Transparency Nondiscrimination Provision
The Jet Propulsion Laboratory is a federal facility. Due to rules imposed by NASA, JPL will not accept applications from citizens of designated countries or those born in a designated country unless they are U.S. Citizens, Legal Permanent Residents of the U.S or have other protected status under 8 U.S.C. 1324b(a)(3). The Designated Countries List is available here.