ZipRecruiter

Log In

1

Machine Learning Nasa Jobs (NOW HIRING)

FieldAI

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$112.20K - $154K/yr

... with learning systems proven in globally deployed solutions that deliver results today and get ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

Amentum

Enterprise System Engineer

Houston, TX · On-site

$102.20K - $127K/yr

As NASA's largest engineering solutions provider working together with NASA at centers across the ... GitLab, Machine Learning, Debugging, Collaborative Development, Code Reviews Why Join Our Team? In ...

FieldAI

Senior Machine Learning Platform Engineer

Irvine, CA

$112.20K - $154K/yr

... with learning systems proven in globally deployed solutions that deliver results today and get ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

Pae

Enterprise System Engineer

Houston, TX · Hybrid

$102.20K - $127K/yr

As NASA's largest engineering solutions provider working together with NASA at centers across the ... GitLab, Machine Learning, Debugging, Collaborative Development, Code Reviews Why Join Our Team? In ...

FieldAI

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$112.20K - $154K/yr

... with learning systems proven in globally deployed solutions that deliver results today and get ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site

$131.50K - $173.40K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams ... NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131.50K - $173.40K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams ... NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131.50K - $173.40K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams ... NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota ...

next page

Showing results 1-20

People also search for

All JobsMachine Learning Nasa Jobs

Machine Learning Nasa information

See salary details

$21K

$117K

$213.5K

How much do machine learning nasa jobs pay per year?

As of May 31, 2026, the average yearly pay for machine learning nasa in the United States is $117,002.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $158,000.00 per year, depending on experience, location, and employer.

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.

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.
More about Machine Learning Nasa jobs
What cities are hiring for Machine Learning Nasa jobs? Cities with the most Machine Learning Nasa job openings:
What states have the most Machine Learning Nasa jobs? States with the most job openings for Machine Learning Nasa jobs include:
What job categories do people searching Machine Learning Nasa jobs look for? The top searched job categories for Machine Learning Nasa jobs are:
Machine Learning Nasa jobs near you
Infographic showing various Machine Learning Nasa job openings in the United States as of May 2026, with employment types broken down into 10% Full Time, 45% Part Time, 35% Contract, and 10% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $117,002 per year, or $56.3 per hour.

Senior Machine Learning Platform Engineer

FieldAI

Irvine, CA • On-site

$112.20K - $154K/yr

Full-time

Posted 7 days ago

Job description

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
What You'll Get To Do:
  • Design and manage scalable ML infrastructure with IaC tools (Terraform, CloudFormation).
  • Develop and optimize cloud-based pipelines for training, evaluation, and inference on multimodal datasets.
  • Build and operate data systems for large-scale video ingestion, indexing, and storage.
  • Maintain MLOps workflows for versioning, experiment tracking, reproducibility, and CI/CD.
  • Ensure reliability and observability with monitoring, logging, and alerting.
  • Collaborate with AI/ML Engineers to productionize workflows.
  • Optimize infrastructure for performance and cost across cloud and edge.
  • Enforce best practices in security, compliance, and maintainability.
  • Mentor and manage junior engineers, providing technical guidance and career development.

What You Have:
  • Bachelor's/Master's in Computer Science, Engineering, or related field (or equivalent experience).
  • 4+ years of industry experience in ML infrastructure or platform engineering.
  • Strong coding skills in Python/TypeScript and a strong foundation in software engineering best practices.
  • Proven experience with distributed systems, cloud platforms (AWS preferred), containerization and orchestration (Docker, Kubernetes/EKS, Ray), and serverless.
  • Hands-on experience building ML pipelines for distributed training and large-scale inference.
  • Strong knowledge of data management at scale, including preprocessing and retrieval of video/image datasets.
  • Proficiency with CI/CD pipelines, infrastructure-as-code (Terraform, CloudFormation), and automation.
  • Familiarity with MLOps tools (MLflow, Kubeflow, Airflow).
  • Experience with system monitoring and observability in production.

The Extras That Set You Apart:
  • Experience with vector databases (OpenSearch, Pinecone, Weaviate) for indexing and retrieval.
  • Familiarity with distributed training frameworks (Horovod, DDP/FSDP, DeepSpeed, Ray).
  • Hands-on experience with GPU orchestration and auto-scaling (Karpenter, SageMaker, EKS).
  • Experience with agentic AI deployment workflows, orchestration frameworks, and retrieval-augmented generation.
  • Strong knowledge of security and compliance in ML and cloud environments.

Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.
Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.
Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.
Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.
We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected statu
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

Apply