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Machine Learning Nasa Jobs in Natick, MA (NOW HIRING)

MIT Human Resources

Postdoctoral Associate

Cambridge, MA · On-site +1

The position is supported by a NASA-funded project focused on probabilistic downscaling of global ... Will develop and implement machine learning models for local weather forecasting and uncertainty ...

Formlabs

Software Engineer - Print Pipeline

Somerville, MA · On-site

$120K - $170K/yr

... and NASA. Together, we're helping everyone design, prototype, and manufacture faster than ever ... machine learning). If you are a talented engineer who is excited to dive into with 3D geometric ...

Formlabs

Software Engineer - Print Pipeline

Somerville, MA · On-site

$120 - $170/hr

... and NASA. Together, we're helping everyone design, prototype, and manufacture faster than ever ... machine learning).If you are a talented engineer who is excited to dive into with 3D geometric ...

Galois, Inc.

Principal Scientist

Boston, MA · On-site

With clients including NASA, DARPA, AWS, and the DoW, we leverage our cutting-edge research to ... Artificial Intelligence, Machine Learning, and Data Science * Software & Systems Analysis

Diffraqtion

Optical Engineer I

Somerville, MA · On-site

$140K - $182K/yr

We are a DARPA, NASA, and VC-backed startup founded by MIT & Harvard scientists and veterans in AI ... We care more about your lab instincts, care with hardware, and appetite for learning than about the ...

Diffraqtion

Optical Engineer I

Somerville, MA · On-site

$140K - $182K/yr

We are a DARPA, NASA, and VC-backed startup founded by MIT & Harvard scientists and veterans in AI ... We care more about your lab instincts, care with hardware, and appetite for learning than about the ...

Diffraqtion

Optical Engineer I

Somerville, MA · On-site

$140K - $182K/yr

We are a DARPA, NASA, and VC-backed startup founded by MIT & Harvard scientists and veterans in AI ... We care more about your lab instincts, care with hardware, and appetite for learning than about the ...

Aptiv

Test Automation Technical Leader - eLxr Linux

Boston, MA · On-site +1

$50 - $66/hr

Examples include playing a key role in NASA space missions such as Artemis I, the James Webb Space ... Learning benefits, including a LinkedIn Learning subscription and seminars Join us at Wind River ...

Diffraqtion

Optical Engineer I

Somerville, MA · On-site

$70 - $110/hr

We are a DARPA, NASA, and VC-backed startup founded by MIT & Harvard scientists and veterans in AI ... Practical shop skills: machining, 3D printing, soldering, or basic electronics. Benefits

All JobsMachine Learning Nasa JobsMachine Learning Nasa Jobs in Natick, MA

Machine Learning Nasa information

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 cities near Natick, MA are hiring for Machine Learning Nasa jobs?

Cities near Natick, MA with the most Machine Learning Nasa job openings:

Machine Learning Nasa jobs near you
Infographic showing various Machine Learning Nasa job openings in Natick, MA as of June 2026, with employment types broken down into 41% Full Time, 58% Part Time, and 1% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Mechanical/Fabrication Design Engineer

Odyssey Systems LLC

Lexington, MA • On-site

$85K - $115K/yr

Full-time

Re-posted 9 days ago

Job description

The Human Health & Performance Systems Group focuses on objective, technology-based human-centered solutions to measure, model and modify cognitive and physiological function for enhancement, sustainment, or recovery. This goal is accomplished through three broad technical areas: health and resilience monitoring, trauma care, and performance enhancement. Research in all areas includes capability gap analysis, advanced sensing, machine learning and artificial intelligence algorithms, biologically-based modeling, prototyping, system integration, and field testing of systems to monitor the human state, predict outcomes, and intervene to improve health and performance.

Typical goals include increasing physical, cognitive and psychological performance and resilience of end-users in their operational environments; measuring, modeling, and modifying the brain to mitigate neurotrauma and neurodegeneration of end-users after exposure; and developing human-machine interfaces for enhanced end-user performance and communication within groups. This highly interdisciplinary group draws on skills from biology, physiology, cognitive science, neuroscience, psychology, biosignal processing, engineering, machine learning and artificial intelligence, computer science, physics, and medical research areas. Primary government sponsors and partners are in the Departments of Defense, Veterans Affairs, Homeland Security, NASA, the National Institutes of Health, and the National Science Foundation.

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