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Remote Spacex Machine Learning Jobs in Maryland (NOW HIRING)

Booz Allen Hamilton, Inc.

Agentic AI Engineer

Annapolis, MD · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0243058 Location: Annapolis Junction,MD,US Share job via: Share Agentic AI Engineer The Opportunity: You know that machine learning is critical to understanding and ...

GRVTY

Senior Software Engineer

Laurel, MD · On-site +1

$150K - $200K/yr

Possible up to 2 days a week remote if tasking becomes available, but is not guaranteed. What You ... Experience with Machine Learning Model building and monitoring * Experience with Ghostmachine (Map ...

Booz Allen Hamilton, Inc.

Data Scientist

Edgewood, MD · On-site +1

$77K - $176K/yr

Experience working with Machine Learning, Artificial Intelligence (AI), or Natural Language ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Global Alliant Inc

AI Engineer

Rockville, MD · On-site +1

Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible to obtain and maintain ... Strong experience with Python, SQL, Machine Learning, NLP, and Generative AI technologies

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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?

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 Maryland? The most popular types of Spacex Machine Learning jobs in Maryland are:
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Remote Spacex Machine Learning jobs near you

Software Engineer (Machine Translation)TS/SCI with Poly)

SOLERITY

Fort George G Meade, MD • On-site, Remote

$170K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago

Job description

Description

 Take the next step in your career with Solerity. As a recognized leader in providing Information Technology, Engineering Services, Program Management, and Consulting Services to the U.S. Federal Government and Intelligence Community, we deliver innovative, mission-focused solutions supporting some of the nation's most critical Signals Intelligence (SIGINT) and cybersecurity missions.


Solerity is seeking a Machine Translation to support advanced research, development, and prototyping of Artificial Intelligence and Machine Learning solutions. This role focuses on machine translation technologies, large-scale data processing, and applied AI research to support SIGINT exploitation and cybersecurity analytics.

The ideal candidate will be experienced in modern machine learning approaches, particularly transformer-based architectures, and will contribute to the development, evaluation, and enhancement of machine translation systems and AI-driven processing pipelines.


Responsibilities Include:
  • Investigate, analyze, and develop AI and machine learning solutions supporting SIGINT and cybersecurity data exploitation. 
  • Design, build, and evaluate research prototypes for machine translation and NLP-based applications. 
  • Work with large and complex datasets to develop scalable AI-driven analytical solutions. 
  • Apply advanced research and development techniques to solve complex AI/ML technical challenges. 
  • Contribute to the design and implementation of machine translation pipelines and text processing systems. 
  • Evaluate emerging tools, models, and techniques in machine translation and natural language processing. 
  • Analyze and improve encoder/decoder transformer architectures and related AI systems. 
  • Develop and optimize AI/ML workflows and processing pipelines for performance and accuracy. 
  • Support integration and deployment of AI solutions within secure operational environments. 
  • Build and maintain containerized applications using Docker for model deployment and testing. 
  • Collaborate with senior researchers and engineers to refine AI methodologies and solutions. 
  • Propose enhancements to machine translation systems and end-to-end data processing flows. 
  • Document research findings, methodologies, and technical implementations. 
  • Additional duties may be assigned. 
REQUIREMENTS YOU BRING:
  • Bachelor's degree in Engineering, Computer Science, Mathematics, or other STEM field. 
  • 11+ years of relevant experience in AI, machine learning, data science, or related technical disciplines. 
  • Active TS/SCI with Full Scope Polygraph (FSP) clearance required. 
  • Strong experience working in research and development environments. 
  • Hands-on experience with machine learning and machine translation technologies. 
  • Solid understanding of encoder-decoder transformer architectures. 
  • Experience with modern text processing pipelines and natural language processing systems. 
  • Understanding of text embeddings and vector-based representations. 
  • Knowledge of differences between transformer-based MT systems (e.g., Marian) and large language models. 
  • Ability to evaluate and compare machine translation architectures and approaches. 
  • Experience developing AI/ML solutions using Python and C/C++. 
  • Experience with Docker for containerized development and deployment. 
  • Ability to propose and implement improvements to AI/ML systems and workflows. 
HIGHLY DESIRED QUALIFICATIONS:
  • Experience working in Intelligence Community or SIGINT-focused environments. 
  • Strong research background in machine translation or natural language processing. 
  • Experience developing or fine-tuning transformer-based AI models. 
  • Experience with distributed computing or large-scale model training environments. 
  • Strong ability to communicate complex technical concepts to both technical and non-technical stakeholders. 
  • Experience evaluating emerging AI/ML tools and technologies in production or research settings. 
WORK LOCATION
  • Emerson III facility 
  • Telework eligible (up to 50% depending on mission requirements) 
TRAVEL
  • Minimal travel anticipated based on mission requirements

Requirements

BENEFITS YOU'LL ENJOY:

1. Medical, dental and vision coverage

2. Health Savings Accounts and Flexible Spending Accounts for healthcare and dependent care

3. Flexible work schedule to include onsite, hybrid or remote, as dictated by position

4. 401(k) and company-funded life insurance

5. Generous Paid Time Off (PTO)

6. Tuition and training assistance

7. Financial rewards for employee referrals.

8. Pet insurance

9. Employee discount program


EMPLOYMENT OPPORTUNITIES: Solerity is committed to the range of perspectives we bring to the marketplace by being an employer dedicated to hiring a highly qualified team of professionals, providing world class services and products aimed at exceeding our customer's expectations. Solerity is an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities. Solerity is a VEVRAA Federal Contractor.


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JOB ID- 343

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