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Remote Spacex Machine Learning Jobs in Washington, DC

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Comcast

Engineer 6, Machine Learning, Data & AI

Washington, DC · On-site +1

$129K - $155K/yr

... remote option.) Job Summary We are seeking a visionary Senior Technologist, Data & Agentic AI ... Experience supporting AI, machine learning, advanced analytics, or data modernization initiatives.

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Comcast

Engineer 6, Machine Learning, Data & AI

Reston, VA · On-site +1

$119K - $143K/yr

... remote option.) Job Summary We are seeking a visionary Senior Technologist, Data & Agentic AI ... Experience supporting AI, machine learning, advanced analytics, or data modernization initiatives.

West 4th Strategy

Data Scientist (Remote)

Washington, DC · On-site +1

$135K - $150K/yr

Build and implement machine learning models and/or predictive analytics. * Maintenance of ... Remote - Eastern Standard Time zone - preferred but not required CLEARANCE * U.S. Citizenship ...

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Remote Spacex Machine Learning information

See Washington, DC salary details

$28.9K

$48.2K

$99.7K

How much do remote spacex machine learning jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote spacex machine learning in Washington, DC is $48,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,800.00 and $52,100.00 per year, depending on experience, location, and employer.

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?

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, DC?

The most popular types of Spacex Machine Learning jobs in Washington, DC are:

What are popular job titles related to Remote Spacex Machine Learning jobs in Washington, DC?

For Remote Spacex Machine Learning jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Remote Spacex Machine Learning jobs in Washington, DC look for?

The top searched job categories for Remote Spacex Machine Learning jobs in Washington, DC are:

Remote Spacex Machine Learning jobs near you

Software Engineer / AI & Machine Learning Engineer

Staffed4U

Chantilly, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago

Job description

Software Engineer / AI & Machine Learning Engineer
Location: Chantilly, Virginia
Security Clearance: Active TS/SCI with Polygraph Required
Job Type: Full-Time

Position Overview

The selected candidate will support the design, development, integration, and maintenance of software systems and cloud-based applications in a secure technical environment. This role involves applying software engineering principles, systems analysis, and emerging technologies including artificial intelligence and machine learning to support mission and operational requirements.

Minimum Qualifications
  • Bachelor’s degree and a minimum of three (3) years of relevant experience; OR
  • Seven (7) years of related professional experience in lieu of a degree
  • Minimum of three (3) years of software engineering, systems engineering, or AI/machine learning experience
  • Active TS/SCI clearance with Polygraph
  • Ability to work in a collaborative and fast-paced technical environment
Duties and Responsibilities
  • Analyze software and system requirements to support development and operational needs
  • Design, develop, test, and maintain software applications and system solutions
  • Evaluate and improve software performance, system functionality, and operational efficiency
  • Develop system specifications, technical documentation, and implementation plans
  • Coordinate with technical teams to ensure proper integration and deployment of software solutions
  • Modify existing applications to correct defects, improve performance, or adapt to new technologies
  • Analyze interfaces between hardware and software systems and develop performance requirements
  • Support installation, testing, and maintenance of software systems and cloud-based applications
  • Develop and maintain applications within cloud environments, including modernization of legacy systems
  • Participate in estimating software development schedules, resource requirements, and technical risks
  • Apply analytical and mathematical methods to software design and system performance evaluation
  • Support AI and machine learning initiatives, including data analysis, model development, and automation solutions
  • Provide technical guidance and collaborate with engineers, analysts, and developers on project activities
Required Knowledge, Skills, and Abilities
  • Knowledge of software engineering principles, programming, and systems analysis
  • Understanding of cloud computing concepts and application development environments
  • Ability to analyze user requirements and translate them into technical solutions
  • Experience with software testing, debugging, and performance optimization
  • Strong analytical, problem-solving, and communication skills
  • Ability to work independently and as part of a multidisciplinary team
Preferred Technical Experience

Experience or familiarity with one or more of the following technologies or tools is desirable:

  • Programming languages and software development frameworks
  • Artificial intelligence and machine learning concepts and tools
  • Web application development technologies, including HTML and Apache Struts
  • Software testing and defect tracking tools, like Loadrunner
  • Source code editors and development environments
  • Cloud platforms and application hosting technologies
  • Enterprise servers and distributed computing environments
About the Organization

A dynamic, quality-focused small business providing innovative and mission-oriented solutions to government and commercial customers. The organization supports defense, intelligence, civilian, and commercial sectors through a team of experienced professionals and subject matter experts.

Benefits Summary

Our client offers a comprehensive benefits package to support employee well-being, financial security, professional growth, and work-life balance. Benefits may include:

  • Flexible Time Off
    Employees are encouraged to manage their time responsibly while meeting work requirements and maintaining productivity.
  • Hybrid Work Environment
    Flexible work arrangements may include a combination of remote and onsite work opportunities based on operational needs.
  • Retirement Savings Plan
    Retirement benefits may include participation in a 401(k) savings program with employer contributions.
  • Paid Parental Leave
    Paid leave is available to support employees welcoming a new child through birth, adoption, or foster placement.
  • Comprehensive Health Coverage
    Medical, dental, vision, and other healthcare benefit options are available to support individual and family healthcare needs.
  • Professional Development and Continuing Education
    Opportunities for continued learning, certifications, and job-related training are available to support career growth and advancement.

We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected status under applicable law.