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Machine Learning Nasa Jobs in Maryland (NOW HIRING)

Student Intern

Lanham, MD · On-site

$20/hr

... at NASA's Goddard Space Flight Center (GSFC). The team is composed of world leaders in the ... Enhancing full-waveform lidar data analysis using machine learning techniques (improving pulse and ...

Software Developer

Greenbelt, MD · On-site

$100K - $110K/yr

... Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of something special! Position Overview NASA SEWP is seeking a mid-level Java Software Developer to ...

Software Developer

Greenbelt, MD · On-site

$85 - $120/hr

... Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of something special! Position Overview NASA SEWP is seeking a mid-level Java Software Developer to ...

New

... Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of something special! Position Overview NASA SEWP is seeking a mid-level Java Software Developer to ...

Software Developer

Greenbelt, MD · On-site

$100K - $110K/yr

... Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of ... Core ResponsibilitiesDevelop and implement new web applications to support the NASA SEWP ...

Our clients - including NASA, DoD, HHS, DHS, and other civil and national security agencies - rely ... Experience supporting artificial intelligence (AI) and machine learning (ML) initiatives related to ...

Our clients - including NASA, DoD, HHS, DHS, and other civil and national security agencies - rely ... Experience supporting artificial intelligence (AI) and machine learning (ML) initiatives related to ...

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Machine Learning Nasa information

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$20.9K

$116.6K

$212.8K

How much do machine learning nasa jobs pay per year?

As of Aug 21, 2026, the average yearly pay for machine learning nasa in Maryland is $116,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,788.00 and $157,486.00 per year, depending on experience, location, and employer.

What does a machine learning specialist 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?

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.

Does NASA use machine learning?

NASA employs machine learning techniques across various projects, including satellite data analysis, spacecraft navigation, and climate modeling. Machine learning helps improve data processing efficiency and supports autonomous systems in space exploration. Job roles in this field often require knowledge of data science, programming, and domain-specific applications.

What are popular job titles related to Machine Learning Nasa jobs in Maryland?

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The top searched job categories for Machine Learning Nasa jobs in Maryland are:

What cities in Maryland are hiring for Machine Learning Nasa jobs?

Cities in Maryland with the most Machine Learning Nasa job openings:

Student Intern

Science Systems & Applications

Lanham, MD • On-site

$20/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Science Systems and Applications Inc. (SSAI) is seeking a student intern (approximately 10 hours per week) to support the development and operation of waveform recording laser altimeter (lidar) systems at NASA's Goddard Space Flight Center (GSFC). The team is composed of world leaders in the development and deployment of airborne and space-based lidar systems for surface mapping and characterization. These systems rely on the precise digitization and time stamping of both the outgoing and returning lidar pulses (waveforms). Data from the team's lidars are available globally and are used to characterize and monitor surface features such as vegetation, sea ice, and ice sheets.

Key Responsibilities:

  • Modifying and testing aircraft mission planning software for flight operations.
  • Electrical hardware optimization activities such as detector channel crosstalk analysis, signal-to-noise characterization of detectors, and optimization of signal attenuation, potentially involving FPGA programming.
  • Enhancing full-waveform lidar data analysis using machine learning techniques (improving pulse and feature detection while minimizing noise).
  • Developing Python-based code to perform geolocation accuracy assessment of data products.
  • Real-time data system enhancements to user interfaces and in-flight data quality assurance displays.
  • Processing lidar data by combining precision trajectory and inertial guidance data with extracted points of interest from waveforms to create point clouds of geolocated targets.

Required Qualifications:

  • Currently enrolled in an undergraduate or graduate program in Earth Science, Atmospheric Science, Computer Science, Electrical Engineering, Space Science, or other related discipline.
  • Programming experience in Python, MATLAB, IDL, or similar languages.
  • Strong interest in remote sensing, signal processing, or scientific instrumentation.
  • Ability to work independently and as part of a team.
  • US Citizenship or Permanent Residency required.

Desired Qualifications:

  • Experience with signal processing or data analysis
  • Experience with FPGA programming
  • Familiarity with machine learning techniques
  • Background in remote sensing or lidar systems
  • Experience with scientific data visualization


EEO/AA Veterans and Individuals with Disabilities

Physical Requirements: While performing the duties of this job, the employee is regularly required to stand, walk, and use hands to touch, handle or feel objects, tools or controls. The employee frequently is required to talk and hear and occasionally required to reach with hands and arms and stoop, kneel, crouch, or crawl. Must regularly lift and/or move up to 10 pounds, and occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, peripheral vision, depth perception and the ability to adjust focus.