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# Full Stack ML Engineer - Infrastructure

- **Company:** Insight Global
- **Location:** Palo Alto, CA, United States
- **Salary:** $122,720.0 - $143,520.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Big Data, Cross-Site Request Forgery, Software Design Patterns, Web Development, Identity and Access Management, Python (Programming Language), Machine Learning, OAuth, OpenID, Open Web Application Security, JSON Web Token, Software Systems, Web Applications, Tailwind, ReactJS, Cross-Site Scripting (XSS), Backend, Kubernetes, Information Technology, Playwright, React Redux, JestJS
- **Published:** June 26, 2026
- **Apply:** https://www.juju.com/job/00000000gb3xz0

## About the Role

Degree in Computer Science or equivalent experience

 - Proficiency in writing production quality code in Python, and experience with any major machine learning framework

 - Experience in optimization techniques and time-series forecasting

 - Strong knowledge of the React ecosystem, including familiarity with major solutions for State Management (Redux Toolkit, Zustand, MobX), Styling (Tailwind CSS, Styled Components, MUI), and Testing (Jest, Vitest, Playwright)

 - Solid understanding of web development best practices, security principles, design patterns, scalability principles, and component-reuse strategies

 - Experience deploying services on Kubernetes or other big data technologies and setting up CI/CD pipelines

 - Experience implementing identity management protocols such as OAuth2, OIDC, and JWT, with attention to preventing vulnerabilities (OWASP Top 10, XSS, CSRF)

 - Excellent interpersonal, communication, and collaboration skills

## Description

Infrastructure team is seeking a skilled Full-Stack Machine Learning Engineer to join their mission of accelerating the world's transition to sustainable energy. You will develop in-house tools that automate complex processes and empower our engineers to design faster and operate more efficiently. You'll build scalable, data-driven user interfaces that drive companies internal designs and operations while shaping a sustainable future. Your work will directly impact companies mission by enabling intuitive, visually compelling tools that enhance operational efficiency.

What You'll Do

 - Design, develop, test, deploy, scale, and maintain user-friendly web applications and tools that automate existing design workflows and visualize machine learning experiments and models

 - Combine multiple data-sources and leverage millions of data points to build robust and scalable end-to-end learning-based systems. This includes training and evaluation code in Python to back-end and front-end work in JavaScript

 - Collaborate with cross-functional teams to integrate software systems into companies ecosystem, ensuring seamless deployment and operation

Build dashboards that provide real-time insights into performance, progress, and key metrics for engineers and leadership

 - Proactively identify and resolve performance bottlenecks related to infrastructure, memory, and runtime efficiency

Present progress at project milestones to stakeholders and cross-functional teams


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