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Beyond

Cloud, cybersecurity, and AI solutions provider

Junior Innovation Engineer

Applied Machine LearningUpdated on Nov 11
Full-timeTaguig, Metro Manila, Philippines

About the Job

Requirements

  • Strong technical foundations.
  • Experience with common programming languages such as Node.js, Python, C++, and SQL.
  • Demonstrable experience operating in modern cloud environments using Kubernetes, Docker, and continuous integration and continuous delivery; Google Cloud Platform is preferred.
  • Experience with deep learning frameworks such as PyTorch and TensorFlow.
  • Collaborative and methodical approach.
  • Proactive and attentive to detail.
  • Creative problem-solving abilities.
  • Strong grasp of statistics and probability fundamentals.

Responsibilities

  • Work on strategic business challenges, such as improving operations through intelligent automations or using machine learning to speed up decision making.
  • Design and implement AI-enabled tools using AI and machine learning models, large language models, or data science pipelines with measurable impact.
  • Use the Google Cloud partnership to work with modern technology stacks and access tooling and learning opportunities.
  • Stay up to date with the latest developments in machine learning.

Desired Qualifications

  • Experience building and deploying solutions on a major hyperscaler, especially Google Cloud.
  • Recent software development skills augmented with a frontier large language model.

About the Company

Beyond

Cloud, cybersecurity, and AI solutions provider

Beyond builds the cloud and cybersecurity solutions that organizations rely on to run securely and scale with AI capabilities. It offers end-to-end technology—from foundational cloud infrastructure and security tooling to advanced AI systems—designed to help enterprises adapt to change. The company operates with a Google-first approach, often integrating and leveraging Google Cloud technologies to design and implement services. What sets Beyond apart is its focus on security and reliability across the entire stack, from infrastructure to AI-powered applications, delivering enterprise-grade capabilities rather than isolated tools. The overall goal is to enable organizations to thrive through change by providing trusted, scalable, and secure technology platforms.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
San Francisco, CA
Founded
2010

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