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Machine Learning Nasa Jobs in California (NOW HIRING)

Mat3ra

✍️ Grant Writer ✍️

Walnut Creek, CA · On-site

$100K - $140K/yr

... NSF, NASA, NIST etc.) * familiarity with Google Docs, Spreadsheets, DoE PAMS, Grants.Gov, DSIP ... with machine learning Benefits Company Benefits Include * Health Care Plan (Medical, Dental ...

Mat3ra

✍ Grant Writer ✍

Walnut Creek, CA · On-site

$100K - $140K/yr

... NSF, NASA, NIST etc.) * familiarity with Google Docs, Spreadsheets, DoE PAMS, Grants.Gov, DSIP ... with machine learning Benefits Company Benefits Include * Health Care Plan (Medical, Dental ...

Mat3ra

Grant Writer

Walnut Creek, CA · On-site +1

$100K - $140K/yr

... NSF, NASA, NIST etc.) * familiarity with Google Docs, Spreadsheets, DoE PAMS, Grants.Gov, DSIP ... with machine learning Benefits Company Benefits Include * Health Care Plan (Medical, Dental ...

OffWorld

Senior RF/Antenna Engineer

Pasadena, CA · On-site

$114K - $156K/yr

... at NASA, ESA, SSL/MDA, CERN, Reaction Engines, SAFRAN, Surrey Satellites and Cisco. OffWorld ... Our robotic systems combine sensory information with cutting edge machine learning (ML) for control ...

OffWorld

Senior RF/Antenna Engineer

Pasadena, CA · On-site

$114K - $156K/yr

... at NASA, ESA, SSL/MDA, CERN, Reaction Engines, SAFRAN, Surrey Satellites and Cisco. OffWorld ... Our robotic systems combine sensory information with cutting edge machine learning (ML) for control ...

JPL

Data Scientist II

Pasadena, CA · On-site

... machine learning systems for interpretation of remote sensing imagery and Large multi-modal models ... Due to rules imposed by NASA, JPL will not accept applications from citizens of designated ...

OffWorld

Robotics Test Engineer

Pasadena, CA · On-site

... NASA, ESA,NOAA,MaxarTechnologies, CERN, Reaction Engines, SAFRAN, Surrey Satellites and Cisco ... Our robotic systems combine sensor information, cutting edge classical/machine learning (ML ...

OffWorld

Lead Space Systems Engineer

Altadena, CA · On-site

$120K/yr

... NASA, ESA,NOAA,MaxarTechnologies, CERN, Reaction Engines, SAFRAN, Surrey Satellites and Cisco ... Our robotic systems combine sensor information, cutting edge classical/machine learning (ML ...

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All JobsMachine Learning Nasa JobsMachine Learning Nasa Jobs in California

Machine Learning Nasa information

See California salary details

$20.6K

$114.6K

$209.1K

How much do machine learning nasa jobs pay per year?

As of Jun 28, 2026, the average yearly pay for machine learning nasa in California is $114,571.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,649.00 and $154,718.00 per year, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Machine Learning roles such as data scientists, AI specialists, and machine learning engineers are expected to persist as AI advances, due to their need for complex problem-solving, domain expertise, and ongoing model development. These jobs require advanced skills in programming, statistics, and critical thinking, making them less susceptible to automation. Continuous learning and staying updated with new tools like TensorFlow or PyTorch are essential for these positions.

What do Machine Learning specialists at NASA do?

Machine Learning specialists at NASA use advanced algorithms and data analysis techniques to help solve complex problems in space exploration and research. Their work includes developing models for spacecraft navigation, analyzing satellite imagery, predicting equipment failures, and supporting scientific discoveries through data-driven insights. By leveraging artificial intelligence and machine learning, they help NASA make more accurate predictions, automate processes, and enhance mission safety and efficiency.

What are the key skills and qualifications needed to thrive as a Machine Learning Scientist at NASA, and why are they important?

To thrive as a Machine Learning Scientist at NASA, you need a solid background in computer science, mathematics, and statistics, typically supported by an advanced degree in a related field. Proficiency with programming languages like Python or R, familiarity with machine learning libraries (such as TensorFlow or PyTorch), and experience with large-scale data analysis are essential. Strong problem-solving skills, creativity, and the ability to collaborate across multidisciplinary teams help set top candidates apart. These skills and qualities are crucial for developing innovative AI solutions that support NASA’s scientific missions and research objectives.

What are common challenges faced by machine learning professionals working at NASA, and how can applicants prepare for them?

Machine learning professionals at NASA often work with complex, high-dimensional datasets collected from space missions, satellites, and simulations, which can present unique challenges such as data sparsity, noise, and the need for robust, interpretable models. Collaboration with scientists and engineers from diverse backgrounds is frequent, requiring excellent communication skills to translate technical findings into actionable insights. To prepare, applicants should familiarize themselves with domain-specific data, stay updated on the latest advancements in machine learning, and practice interdisciplinary teamwork to effectively contribute to NASA's innovative projects.

Can I work at NASA being a programmer?

Yes, NASA employs programmers and software engineers to develop and maintain systems for space missions, research, and data analysis. These roles typically require skills in programming languages such as Python, C++, or Java, along with a background in computer science or engineering. Security clearances and relevant experience are often necessary for employment at NASA.

Does NASA need AI engineers?

NASA employs AI engineers to develop machine learning algorithms and data analysis tools for space exploration, satellite data processing, and mission planning. These engineers work with advanced programming languages and AI frameworks to support NASA's scientific and operational objectives.

How much does NASA pay machine learning engineers?

NASA machine learning engineers typically earn between $80,000 and $130,000 annually, depending on experience, education, and security clearance. Salaries may also include benefits such as health insurance and retirement plans, and the role often requires proficiency in programming languages like Python and experience with data analysis tools.
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Machine Learning Nasa jobs near you
Research Scientist, Color Perception & Imaging Technology

Research Scientist, Color Perception & Imaging Technology

DigitalFish, Inc

Bodega Bay, CA • On-site

$110K - $150K/yr

Full-time

Medical, Dental, Vision, Life

Posted 10 hours ago

Job description

Our mission at DigitalFish is to help our customers derive transformative value across their organizations by building next-generation technologies that define the future of digital-media creation and consumption for millions of users.
 
We have partnered with leading digital media companies, and are at the center of their efforts to build a new generation of platforms and experiences. Current and past customers include Apple, Google, Meta, Disney, DreamWorks, Activision, Technicolor, ESPN, LEGO, NASA and many others. 
 
 
THE ROLE

As part of a small and dynamic team, you'll advance imaging technology for camera capture and display systems used in wearable MR/AR devices, enabling and enhancing the augmented reality experiences possible on the device. Projects will include camera color processing, camera and display characterization, and studies of device performance and effectiveness.
WHAT YOU'LL DO
  • Develop perceptual features for immersive MR/AR experiences by modeling human perception
  • Establish camera and display image quality metrics for MR/AR benchmarking
  • Create a platform for objective and subjective psychophysical studies to evaluate virtual object rendering in MR/AR applications
  • Research and develop computer vision and machine learning algorithms for light estimation and virtual object rendering
WHO YOU ARE
  • MS/PhD degree in Computer Science, Imaging Science, Image Processing, Computer Vision, or related fields
  • Strong background in color science and imaging science
  • Proficient in programming languages such as MATLAB, Python, C#, and C++
  • Strong background in user experience, machine learning, computer vision, VR & AR
  • Knowledgeable in data analysis and signal processing
  • Strong communication skills for working with cross-functional teams
  • Strong understanding of image processing, HDR imaging, image segmentation, depth estimation, human color perception, AR/VR rendering
  • Proof of eligibility to work in the United States
COMPENSATION & BENEFITS
  • The annual compensation includes equity (per qualifications)
  • The annual salary range for this position is $110,000 to $150,000 plus equity (per qualifications)
  • The base pay offered will take into account internal parity, job-related knowledge, skills, and experience among other factors
  • Health Insurance - Medical, Dental, Vision and Life Insurance
  • Discounts on movie tickets, theme parks, hotels, Broadway and Vegas shows, shopping partners & more
  • Flexible working environment and more!
$110,000 - $150,000 a year
ADDITIONAL INFO
 
DigitalFish is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process. We are determined to ensure that no applicant experiences discrimination on the basis of sex, race, ethnicity, religion or belief, disability, age, gender identity, ancestry, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law.
 
DigitalFish may share your personal information and resume with trusted partners only as necessary to help facilitate your employment journey.
 
DigitalFish is not able to sponsor immigration petitions for this role at this time.
 
All applicants must have the right to work in the United States.
 
We look forward to hearing from you!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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