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Remote Spacex Machine Learning Jobs in Washington

Lateral Insights LLC

Senior AI/ML Engineer

Great Falls, VA · Remote

$105K - $145K/yr

... machine learning platforms, and practical experience operationalizing AI solutions from concept to production. Location: Vienna VA (We will consider Remote candidates within US Mainland on EST ...

LexisNexis

Director, Data Sciences

Washington, DC · On-site +1

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Machine Learning and AI Solutions : Lead the development and implementation of machine learning ...

NT Concepts

Data Scientist

Herndon, VA · On-site +1

... the machine learning development lifecycle, from data curation and synthetic data generation to ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ...

ManTech

Solution Engineer

Herndon, VA · Remote

$179K - $318K/yr

This role heavily emphasizes structural data integrity, deep machine learning pipelines, and robust ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Ardent Eagle Solutions

Senior Data Engineer

Arlington, VA · On-site +1

$135K - $205K/yr

Collaborate closely with Data Scientists to optimize infrastructure supporting machine learning ... Location and Work Hours * 100% Remote (United States) * Standard operating hours between 6:00 AM ...

Ardent Eagle Solutions

Senior Data Engineer

Arlington, VA · On-site +1

$135K - $205K/yr

Collaborate closely with Data Scientists to optimize infrastructure supporting machine learning ... Location and Work Hours * 100% Remote (United States) * Standard operating hours between 6:00 AM ...

GRVTY

Imagery Scientist (EO) - Senior

Falls Church, VA · Remote

$97K - $133K/yr

... Machine Learning algorithm testing and evaluation. The ideal candidate is an expert imagery ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

System One

Data Scientist

Mclean, VA · Remote

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Design and develop machine learning models and analytical approaches to support search, discovery ...

System One

Data Scientist

Mclean, VA · Remote

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Design and develop machine learning models and analytical approaches to support search, discovery ...

System One

Data Scientist

Mclean, VA · Remote

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Design and develop machine learning models and analytical approaches to support search, discovery ...

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Remote Spacex Machine Learning information

What does a Remote SpaceX Machine Learning Engineer do?

A Remote SpaceX Machine Learning Engineer uses data-driven algorithms and models to solve complex problems for SpaceX, often focusing on areas such as rocket manufacturing, satellite communications, and mission planning. Working remotely, these engineers collaborate with cross-functional teams to design, develop, and implement machine learning solutions that improve efficiency, safety, and performance. They may analyze large datasets, build predictive models, and deploy AI systems to support SpaceX's ambitious goals in space exploration.

What are some unique challenges of working remotely as a Machine Learning Engineer at SpaceX, and how can candidates prepare for them?

Working remotely as a Machine Learning Engineer at SpaceX presents unique challenges such as collaborating across distributed teams, managing time zones, and maintaining effective communication with colleagues involved in hardware and aerospace projects. To succeed, candidates should be proactive in seeking regular updates, use collaborative tools efficiently, and be comfortable working independently while still aligning with team objectives. Familiarity with remote development environments and a strong ability to document and present complex models are also key to thriving in this role.

What is the difference between Remote Spacex Machine Learning vs Remote Spacex Data Scientist?

AspectRemote Spacex Machine LearningRemote Spacex Data Scientist
Required CredentialsAdvanced degree in Computer Science, AI, or related field; experience in ML frameworksDegree in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDeveloping ML models, algorithms, and AI systems for space applicationsAnalyzing data, creating insights, and supporting decision-making processes
Employer & Industry UsageUsed in AI-driven space missions, autonomous systems, and roboticsApplied in data analysis, reporting, and predictive modeling for space projects

Remote Spacex Machine Learning specialists focus on developing AI models for space technology, while Data Scientists analyze data to inform decisions. Both roles require strong technical skills and often collaborate but serve different core functions within the industry.

What are the key skills and qualifications needed to thrive as a Remote SpaceX Machine Learning Engineer, and why are they important?

To excel as a Remote SpaceX Machine Learning Engineer, you need strong expertise in machine learning, data analysis, and programming languages like Python, along with a relevant degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud computing platforms, and version control systems is typically necessary, and certifications in machine learning or data science can be advantageous. Excellent problem-solving skills, strong communication, and the ability to collaborate remotely are key soft skills that help you stand out. These skills ensure you can develop robust ML models that support SpaceX’s technical goals while effectively working within distributed teams.
What are the most commonly searched types of Spacex Machine Learning jobs in Washington? The most popular types of Spacex Machine Learning jobs in Washington are:
What are popular job titles related to Remote Spacex Machine Learning jobs in Washington? For Remote Spacex Machine Learning jobs in Washington, the most frequently searched job titles are:
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What cities in Washington are hiring for Remote Spacex Machine Learning jobs? Cities in Washington with the most Remote Spacex Machine Learning job openings:
Remote Spacex Machine Learning jobs near you

Senior AI/ML Engineer

Lateral Insights LLC

Great Falls, VA • Remote

$105K - $145K/yr

Full-time

Posted 11 hours ago

Job description

Senior AI/ML Platform Engineer

Position Overview

We are looking for an experienced Senior AI/ML Platform Engineer to lead the development and deployment of scalable artificial intelligence and machine learning solutions. This role is ideal for a hands-on engineer who enjoys building production-ready systems, solving complex technical challenges, and delivering AI-driven capabilities across cloud-native environments.

The successful candidate will bring a strong software engineering background, deep expertise in machine learning platforms, and practical experience operationalizing AI solutions from concept to production.

Location: Vienna VA (We will consider Remote candidates within US Mainland on EST)

Required Qualifications

  • Must be a US Citizen/ Permanent Resident able to be employed as a Fulltime Employee. Due to the nature of the contract we cannot work any with layers / vendors or offer this role to anyone who needs sponsorships or has a temporary work visa. 
  • Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience)
  • 10+ years of experience in software engineering, cloud engineering, or related IT disciplines
  • Minimum 3 years of hands-on experience developing and implementing AI/ML solutions
  • At least 4 years of experience working within AWS environments
  • Demonstrated success deploying machine learning models and AI applications into production
  • Strong software development skills with the ability to design, build, test, and maintain end-to-end solutions

Technical Expertise

  • AI/ML Technologies
  • Experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, and Keras
  • Knowledge of Large Language Models (LLMs), prompt engineering techniques, and NLP-based solutions
  • Experience designing, training, and optimizing machine learning models for production use
  • Software Development
  • Strong proficiency in Python and Java
  • Experience developing RESTful APIs and ML inference services using FastAPI
  • Solid understanding of software engineering best practices, testing, and performance optimization
  • Cloud & Infrastructure
  • Hands-on expertise with AWS services including Lambda, EC2, S3, DynamoDB, API Gateway, ECS/Fargate, and IoT Core
  • Experience implementing Infrastructure as Code using Terraform
  • Strong understanding of containerization and orchestration technologies including Docker and Kubernetes
  • Knowledge of distributed systems and cloud-native architectures

Additional Experience

  • Experience integrating edge devices and cloud-based systems
  • Proven ability to build and support scalable, resilient AI platforms
  • Strong troubleshooting and system optimization skills

Key Responsibilities

  • Design, develop, and deploy enterprise-scale AI and machine learning applications
  • Build and maintain robust ML pipelines that support model training, deployment, monitoring, and lifecycle management
  • Develop intelligent applications leveraging LLMs, generative AI, and NLP technologies
  • Create and support high-performance inference services and APIs for production environments
  • Automate infrastructure provisioning and platform management using Terraform and AWS services
  • Deploy and manage containerized workloads using Kubernetes and Docker
  • Collaborate with product, engineering, and data teams to deliver business-critical AI solutions
  • Monitor system performance, troubleshoot issues, and continuously improve reliability and scalability
  • Take ownership of solutions throughout the full development lifecycle, from implementation through production support

Preferred Candidate Profile

We are seeking a builder who thrives in a hands-on engineering environment and has a proven track record of delivering production-grade AI/ML systems. The ideal candidate combines strong software engineering fundamentals with practical experience deploying modern AI technologies at scale.

Apply