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Remote Spacex Machine Learning Jobs in Ohio (NOW HIRING)

Commercial Alliance

Product Owner

Loveland, OH · On-site +1

Experience with artificial intelligence (AI) and machine learning (ML), including exposure to AI ... Flexible work schedule and remote work options (if applicable). If you are a strategic thinker with ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Senior

Dayton, OH · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0242678 Location: Dayton,OH,US Share job via: Share AI/ML Engineer, Senior The Opportunity: As a Senior Artificial Intelligence and Machine Learning (AI/ML) Engineer, you ...

Smart Data

2106 Platform Engineer IV

Cincinnati, OH · Remote

$148K - $165K/yr

REMOTE EST/CST Years of Experience: 5-20 TOP SKILLS: Must Have * Java 8-12 * Springboot * Kafka ... machine-learning and data-warehousing platforms. • Define and implement various strategies ...

Curai

People Operations & Systems Specialist

Cleveland, OH · On-site +1

$60K - $80K/yr

As the pioneer in deploying machine learning in healthcare, and with a dedicated team of specially ... Our company is remote-first, and we consider candidates across the United States. Our corporate ...

Curai

People Operations & Systems Specialist

Cleveland, OH · On-site +1

$60K - $80K/yr

As the pioneer in deploying machine learning in healthcare, and with a dedicated team of specially ... Our company is remote-first, and we consider candidates across the United States. Our corporate ...

Commercial Vehicle Group

Finance Manager

New Albany, OH · On-site +1

Proven leadership experience managing remote or multi-site teams across complex financial functions ... Experience applying AI, machine learning, or advanced analytics concepts within finance, FP&A, ...

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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.
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Remote Spacex Machine Learning jobs near you

Mid Backend Engineer (Java / Python)

Nexaminds

Cincinnati, OH • On-site, Remote

Full-time

Posted 6 days ago

New

Job description

Unlock Your Future with Nexaminds!

At Nexaminds, we're on a mission to redefine industries with AI. We're passionate about the limitless potential of artificial intelligence to transform businesses, streamline processes, and drive growth.

Join us on our visionary journey. We're leading the way in AI solutions, and we're committed to innovation, collaboration, and ethical practices. Become a part of our team and shape the future powered by intelligent machines. If you're driven by ambition, success, fun, and learning, Nexaminds is where you belong.

Location: Cincinnati Ohio

Nexaminds is looking for a Mid Backend Engineer to join our growing engineering team. In this role, you'll help build, maintain, and scale high-performance backend systems and modern cloud applications. You'll collaborate closely with senior engineers to develop reliable cloud-native solutions, create scalable data pipelines, support AI and LLM integrations, and continuously improve application security while leveraging modern AI-assisted development tools.

Requirements:

  • 3–5 years of professional experience as a Backend Engineer or Software Engineer.
  • Strong hands-on experience developing backend applications using Java and Python.
  • Experience building applications on Google Cloud Platform (GCP) or another major cloud platform.
  • Solid understanding of backend architecture, distributed systems, REST APIs, and microservices.
  • Experience building, maintaining, and troubleshooting scalable backend services and data pipelines.
  • Exposure to or strong interest in Large Language Models (LLMs) and AI/ML integration within backend applications.
  • Experience using AI-assisted development tools such as GitHub Copilot to improve productivity and code quality.
  • Good understanding of Application Security (AppSec) principles and secure coding best practices.
  • Experience writing unit and integration tests.
  • Familiarity with Git, code reviews, CI/CD pipelines, and Agile development methodologies.
  • Strong communication and collaboration skills in cross-functional engineering teams.

Nice to Have:

  • Experience working with Kubernetes and Docker.
  • Knowledge of Infrastructure as Code (Terraform or similar).
  • Experience with messaging/event-driven architectures (Kafka, Pub/Sub, RabbitMQ).
  • Experience integrating AI services or machine learning APIs.
  • Familiarity with monitoring and observability tools.
  • Experience optimizing cloud infrastructure costs and performance.

Job Duties:

  • Design, develop, test, and deploy scalable backend services, APIs, and microservices using Java, Python, and Google Cloud Platform (GCP).
  • Build, optimize, and maintain reliable cloud-based data pipelines and backend infrastructure.
  • Support integrations with Large Language Models (LLMs) and AI-powered backend services.
  • Utilize GitHub Copilot and modern development practices to accelerate software delivery while maintaining high code quality.
  • Identify, troubleshoot, and resolve backend performance issues and production incidents.
  • Assist in identifying, prioritizing, and remediating application security vulnerabilities.
  • Write clean, maintainable, and well-tested code following engineering best practices.
  • Participate in code reviews and contribute to continuous improvement of development standards.
  • Develop and maintain technical documentation for backend services and system architecture.
  • Collaborate with product managers, DevOps engineers, and cross-functional teams to deliver high-quality software solutions.

What you can expect from us

Here at Nexaminds, we're not your typical workplace. We're all about creating a friendly and trusting environment where you can thrive. Why does this matter? Well, trust and openness lead to better quality, innovation, commitment to getting the job done, efficiency, and cost-effectiveness.

  • Stock options 📈
  • Remote work options 🏠
  • Flexible working hours 🕜
  • Benefits above the law
  • But it's not just about the work; it's about the people too. You'll be collaborating with some seriously awesome IT pros.
  • You'll have access to mentorship and tons of opportunities to learn and level up.

Ready to embark on this journey with us? 🚀🎉 If you're feeling the excitement, go ahead and apply!