2

Remote Spacex Machine Learning Jobs in Washington, DC

Machine Learning Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum ... None Potential for Remote Work: ORA_HYBRID Description We are seeking to build a team of AI/ML ...

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 ...

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 ...

Showing results 41-60

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 Sep 10, 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 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 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 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:

AI/Machine Learning Specialist

Springfield, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


Job description

Core4ce is seeking a highly experienced AI/Machine Learning Specialist to develop innovative AI-enabled tools, algorithms, and solutions for complex intelligence and geospatial problems. We are looking for a hands-on builder with experience developing AI/ML solutions, working with large-scale data and data science problem sets, and testing and evaluating AI technologies to determine their strengths, weaknesses, and operational value.

Candidates with backgrounds in commercial data, social media, big data, or other large-scale data environments are encouraged to apply. The ideal candidate will also have experience collaborating with DoW and IC organizations, transitioning innovative solutions into operational environments, and communicating complex technical concepts to both technical and non-technical audiences.

Responsibilities

  • Develop and prototype AI/ML-enabled tools, applications, algorithms, and workflows that improve the effectiveness and usability of AI for complex analytical problems.
  • Apply AI/ML techniques to large-scale and complex data problems, including GEOINT, GIS, geospatial, imagery, and other intelligence-related applications.
  • Research, experiment with, and evaluate emerging AI technologies, models, tools, and solutions.
  • Design and execute testing and evaluation approaches to assess the performance, accuracy, scalability, limitations, and operational applicability of AI/ML solutions.
  • Work with large and diverse datasets, including commercial, social media, open-source, intelligence, geospatial, or other high-volume data sources.
  • Rapidly prototype solutions and conduct technical experimentation to demonstrate feasibility and identify opportunities for improvement.
  • Analyze test results and provide technical recommendations regarding the strengths, weaknesses, and appropriate use cases of AI/ML solutions.
  • Support the transition of successful research, prototypes, and AI/ML capabilities into operational environments.
  • Collaborate with technical teams, researchers, and DoW and IC organizations on advanced AI/ML research and development efforts.
  • Prepare and deliver technical briefings, demonstrations, and written products for technical and non-technical audiences.
  • Stay current with emerging technologies, including Generative AI, Large Language Models (LLMs), AI agents, computer vision, deep learning, and multimodal AI.

*This position is designed to be flexible, with responsibilities evolving to meet business needs and enable individual growth.

Requirements

  • Master’s degree in Computer Science, Data Science, AI/ML, or a related technical discipline with 13 years of relevant experience, or Bachelor’s degree with 15 years of relevant experience.
  • Active TS-SCI with ability to obtain a CI Poly.
  • Hands-on experience developing, prototyping, and applying AI/ML solutions, algorithms, models, and frameworks to complex technical or analytical problems.
  • Experience testing and evaluating AI-based and emerging technologies to assess performance, strengths, weaknesses, limitations, and operational applicability.
  • Strong background working with large-scale, complex, or heterogeneous datasets and data science problem sets; experience with Python and AI/ML or data science frameworks.
  • Experience applying AI/ML to GEOINT, GIS, geospatial, imagery, or remote sensing problems, including geospatial data, spatial analytics, or geospatial algorithms.
  • Experience with Generative AI, LLMs, AI agents, computer vision, multimodal AI, or other emerging AI technologies.
  • Experience working in cloud-based data and AI/ML environments and transitioning research, prototypes, or experimental capabilities into operational environments.
  • Experience collaborating with DoW and Intelligence Community (IC) organizations on advanced technology, research, or AI/ML initiatives.
  • Exceptional analytical, problem-solving, research, written, and verbal communication skills, with the ability to explain complex technical concepts to technical and non-technical audiences. Publications, patents, or other demonstrated AI/ML expertise are a plus.

Why Work for Us?

Core4ce is a team of innovators, self-starters, and critical thinkers—driven by a shared mission to strengthen national security and advance warfighting outcomes.

We offer:

  • 401(k) with 100% company match on the first 6% deferred, with immediate vesting
  • Comprehensive medical, dental, and vision coverage—employee portion paid 100% by Core4ce
  • Unlimited access to training and certifications, with no pre-set cap on eligible professional development
  • Tuition assistance for job-related degrees and courses
  • Paid parental leave, PTO that grows with tenure, and generous holiday schedules
  • Got a big idea? At Core4ce, The Forge gives every employee the chance to propose bold innovations and help bring them to life with internal backing.

Join us to build a career that matters—supported by a company that invests in you.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, disability, veteran status, age, genetic information, or other legally protected status.

*Core4ce provides the listed pay range for this position as a general guideline only and not as a guarantee of compensation or salary. Final offers may take into account a variety of factors, including, but not limited to, job responsibilities, education, experience, knowledge, skills, abilities, internal equity, market data alignment, any applicable collective bargaining agreement, and other legal requirements.


Required Skills
Required Experience