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Remote Spacex Machine Learning Jobs in Washington

Remote - Patent Attorneys

Fairfax, VA · Remote

$280K - $350K/yr

... such as AI, Machine Learning, Cloud, Wireless and Data Storage. This role offers full remote ... flexibility while providing access to sophisticated, high-profile work and a collaborative team ...

Remote - Patent Agents

Fairfax, VA · Remote

$280K - $350K/yr

... such as AI, Machine Learning, Cloud, Wireless and Data Storage. This role offers full remote ... flexibility while providing access to sophisticated, high-profile work and a collaborative team ...

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 ...

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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:
What job categories do people searching Remote Spacex Machine Learning jobs in Washington look for? The top searched job categories for Remote Spacex Machine Learning jobs in Washington are:
What cities in Washington are hiring for Remote Spacex Machine Learning jobs? Cities in Washington with the most Remote Spacex Machine Learning job openings:
Machine Learning Engineer/AI Engineer

Machine Learning Engineer/AI Engineer

Acentra Health

Mclean, VA • Remote

$105K - $138K/yr

Other

Medical, Retirement, PTO

Posted 2 days ago


Acentra Health rating

6.3

Company rating: 6.3 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

164th of 204 rated it services


Job description

Company Overview

Acentra Health exists to empower better health outcomes through technology, services, and clinical expertise. Our mission is to innovate health solutions that deliver maximum value and impact.

Lead the Way is our rallying cry at Acentra Health. Think of it as an open invitation to embrace the mission of the company; to actively engage in problem-solving; and to take ownership of your work every day. Acentra Health offers you unparalleled opportunities. In fact, you have all you need to take charge of your career and accelerate better outcomes - making this a great time to join our team of passionate individuals dedicated to being a vital partner for health solutions in the public sector.

Job Summary and Responsibilities

Acentra Health is looking for a Machine Learning Engineer/AI Engineer to join our growing team.


Job Summary:

Work at the intersection of applied AI, data science, and software engineering, building, optimizing, and integrating machine learning (ML) and large language model (LLM) solutions. This role emphasizes generative AI (GenAI), retrieval-augmented generation (RAG), and natural language processing (NLP) to drive innovation, improve healthcare outcomes, and create operational efficiencies.

The ideal candidate has experience deploying ML/LLM solutions in production, exposure to MLOps/LLMOps, and a strong ability to mentor engineers. They combine technical excellence with problem-solving skills to deliver scalable, compliant, and impactful AI solutions in the healthcare domain

* Position is remote, but candidates based in Raleigh/Durham/Cary, NC or DC area preferred. *


Responsibilities:

  • Design, develop, and deploy LLM-powered applications (e.g. summarization, intelligent assistants, document processing, automation)
  • Strong skills in API development and system integration, with the ability to contribute across the full stack
  • Build and optimize RAG pipelines using embeddings and vector databases (e.g., Pinecone, Weaviate, FAISS)
  • Support ML pipelines including data preparation, training workflows, and deployment into applications
  • Support and implement MLOps/LLMOps practices such as CI/CD pipelines, versioning, monitoring, retraining, and governance
  • Mentor and coach engineers on best practices, solution architecture, and applied AI strategies
  • Partner with business and product teams to translate requirements into effective AI solutions
  • Stay current on advances in LLMs, GenAI, and compliance requirements (HIPAA, GDPR, FDA)
  • Read, understand, and adhere to all corporate policies including policies related to HIPAA and its Privacy and Security Rules

Qualifications

Required Qualifications:

  • Bachelor's degree in computer science, Data Science, or related field (Master's or PhD preferred)
  • 4+ years of experience as an ML/AI Engineer with proven applied AI/LLM deployments
  • Proficiency in Python and ML/AI frameworks (TensorFlow, PyTorch, Hugging Face, scikit-learn)
  • Hands-on experience with LLMs, embeddings, vector DBs, and RAG pipelines
  • Cloud experience with AWS and Azure for deploying and managing AI systems
  • Familiarity with MLOps/LLMOps and CI/CD practices
  • Experience deploying ML/LLM systems in healthcare or other regulated environments
  • Excellent communication skills and experience mentoring and collaborating with engineers

Preferred Qualifications/Experience:

  • Experience with LangChain, LlamaIndex, or agentic AI frameworks (AutoGen, CrewAI, Semantic Kernel)
  • Exposure to multi-agent system design and implementation
  • Knowledge of healthcare data standards (HL7, FHIR) and compliance (HIPAA)

Why us?

We are a team of experienced and caring leaders, clinicians, pioneering technologists, and industry professionals who come together to redefine expectations for the healthcare industry. State and federal healthcare agencies, providers, and employers turn to us as their vital partner to ensure better healthcare and improve health outcomes.

We do this through our people.

You will have meaningful work that genuinely improves people's lives across the country. We are a company that cares about our employees, and we give you the tools and encouragement you need to achieve the finest work of your career.

Benefits

Benefits are a key component of your rewards package. Our benefits are designed to provide you with additional protection, security, and support for both your career and your life away from work. Our benefits include comprehensive health plans, paid time off, retirement savings, corporate wellness, educational assistance, corporate discounts, and more.

Compensation

The pay range for this position is listed below.

"Based on our compensation philosophy, an applicant's position placement in the pay range will depend on various considerations, such as years of applicable experience and skill level."

Thank You!

We know your time is valuable and we thank you for applying for this position. Due to the high volume of applicants, only those who are chosen to advance in our interview process will be contacted. We sincerely appreciate your interest in Acentra Health and invite you to apply to future openings that may be of interest. Best of luck in your search!

~ The Acentra Health Talent Acquisition Team

Visit us at https://careers.acentra.com/jobs

EEO AA M/F/Vet/Disability

Acentra Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, status as a protected veteran or any other status protected by applicable Federal, State or Local law.

#LI-SF1

Pay Range
USD $97,040.00 - USD $130,000.00 /Yr.

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