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Remote Spacex Machine Learning Jobs in Fall River, MA

DataAnnotation

QA Engineer - AI Trainer

New Bedford, MA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

SDLC Engineer - AI Trainer

New Bedford, MA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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All JobsRemote Spacex Machine Learning JobsRemote Spacex Machine Learning Jobs in Fall River, MA

Remote Spacex Machine Learning information

See Fall River, MA salary details

$25.6K

$42.7K

$88.3K

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

As of Jun 28, 2026, the average yearly pay for remote spacex machine learning in Fall River, MA is $42,747.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,600.00 and $46,200.00 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, 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 popular job titles related to Remote Spacex Machine Learning jobs in Fall River, MA? For Remote Spacex Machine Learning jobs in Fall River, MA, the most frequently searched job titles are:
What job categories do people searching Remote Spacex Machine Learning jobs in Fall River, MA look for? The top searched job categories for Remote Spacex Machine Learning jobs in Fall River, MA are:
What cities near Fall River, MA are hiring for Remote Spacex Machine Learning jobs? Cities near Fall River, MA with the most Remote Spacex Machine Learning job openings:
Remote Spacex Machine Learning jobs near you
Principal AI Engineer

Principal AI Engineer

eClinical Solutions

Mansfield, MA • On-site, Remote

Full-time

Posted 2 days ago

Job description

eClinical Solutions is transforming clinical development with elluminate®, our Clinical Data Cloud, helping life sciences organizations unify, analyze, and unlock the value of their data faster than ever before. By combining a modern cloud platform with expert data services, we empower smarter decisions across the clinical trial lifecycle-accelerating innovation that ultimately improves patient outcomes.
Our engineering teams build enterprise-grade, revenue-generating products at the intersection of cloud, data, analytics, and emerging AI technologies. If you're excited about building sophisticated software that makes a real-world impact on healthcare, this is the place to do it.
You will make an impact
The Principal AI Engineer is primarily responsible for the design, implementation, and support of AI-powered and agentic capabilities embedded in the company's elluminate software platform. These capabilities facilitate our clients' work on clinical trials. The Principal AI Engineer will need strong analytical and technical skills to design and build production-grade solutions using Large Language Models (LLMs), agentic frameworks, and modern Deep Learning (DL) and Machine Learning (ML) techniques in close collaboration with the company's business clients. In addition, the candidate must serve as a Subject Matter Expert on the application of LLMs, agentic AI, and DL/ML to healthcare structured and unstructured data, both internally and with the company's partners and clients.
Your day to day:
  • Actively works with product and engineering to design and build breakthrough AI-powered and agentic capabilities for our clients using LLMs, agentic workflows, and modern DL/ML techniques
  • Design, prototype, develop, and test LLM-powered applications, agentic workflows, and predictive models using Python and modern AI frameworks to power critical product capabilities
  • Work with both structured and unstructured clinical trial data, including patient reports, trial documentation, and free text notes
  • Ideate, design, prototype, and develop solutions such as multi-agent workflows, RAG-based applications, document intelligence and summarization pipelines, and intelligent process automation
  • Design, prototype, and develop solutions using modern AI frameworks and libraries such as LangChain, LangGraph, LlamaIndex, PyTorch, Hugging Face Transformers, and scikit-learn
  • Champion AI-driven development practices across the team - using AI coding assistants and agentic dev tools to accelerate prototyping, code generation, testing, and review
  • Build and maintain LLM, agentic, and ML pipelines, including prompt engineering, orchestration logic, and evaluation harnesses
  • Apply relevant evaluation frameworks, guardrails, and statistical measures for performance, quality, and error analysis of AI systems
  • Drive the entire workflow of multiple AI engineering projects
  • Enhance the experience and efficiency of our elluminate software platform users
  • Work with our Engineering team to integrate AI capabilities into our elluminate software platform
  • Work with the MLOps/AIOps team to deploy LLM, agentic, and ML systems in production and to track performance, cost, and quality
  • Consult with and assist our software development and biometrics teams to consume the results of these AI systems
  • Ensure data quality throughout all stages of acquisition and processing
  • Serve as Subject Matter Expert in Generative AI, agentic systems, and applied Machine Learning
  • Keep up to date with the latest research and tooling in LLMs, agentic AI, and ML
  • Educate other team members in modern AI techniques and best practices
  • Publish and present work and contribute to company's intellectual property
  • Other duties as assigned

Qualifications:
  • Bachelor's Degree in Computer Science, Engineering, Math, Physics, or a related field; Master's or Doctorate degree preferred
  • Accomplished engineer with deep technical credibility and hands-on implementation skills building LLM-powered applications, agentic workflows, and production AI systems; familiarity with modern Deep Learning and Machine Learning techniques (transformers, RAG, fine-tuning, evaluation)
  • Extensive experience shipping production software in a healthcare or life-sciences setting; comfortable working alongside clinicians and domain experts
  • In-depth knowledge and experience working with healthcare and/or clinical trials data
  • Expert knowledge of Python and modern AI frameworks (LangChain, LangGraph, LlamaIndex, or equivalents); proficiency with API development, system integration, and at least one major cloud platform (AWS, Azure, or GCP)

Accelerate your skills and career within a fast-growing company while impacting the future of healthcare. We have shared our story, now we look forward to learning yours!
eClinical is a winner of the 2025 Top Workplaces USA Award for Remote Work! We have also received numerous Top Workplaces Culture Excellence Awards celebrating our exceptional company vision, values, and work-life balance. See all the details here: https://topworkplaces.com/company/eclinical-solutions/
eClinical Solutions is a people first organization. Our inclusive culture values the contribution that diversity brings to our business. We celebrate individual experiences that connect us and that inspire innovation in our community. Our team seeks out opportunities to learn, grow and continuously improve. Bring your authentic self, you are welcome here!
We are proud to be an equal opportunity employer that values diversity. Our management team is committed to the principle that employment decisions are based on qualifications, merit, culture fit and business need.
Pay Range
US Pay Ranges
$190,000-$210,000 USD

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