Systems Engineer for Machine Learning Platform - Remote

Overview

We are seeking highly motivated and skilled systems engineers to join our team to help in developing the CentML platform that offers a cost effective infrastructure for serving and training large scale machine learning models. As a systems engineer, you will play a crucial role in building a unified solution that brings our innovative in-house technologies such as Hidet compiler, DeepView, and other ML optimizations into a single, cohesive platform. Your expertise will drive the scalability, performance, and reliability of the platform, enabling our customers to seamlessly access and utilize a comprehensive suite of ML services that we offer.

In Short

• Join a team focused on AI and ML technologies.
• Develop the CentML platform for ML model training and serving.
• Work with innovative technologies like Hidet compiler and DeepView.
• Enhance scalability, performance, and reliability of the platform.
• Contribute to a cohesive solution for ML services.
• Collaborate with experts in AI and ML hardware.
• Drive cost-effective infrastructure development.
• Enable customers to access comprehensive ML services.
• Be part of a mission to transform AI accessibility.
• Work in a dynamic and innovative environment.

Requirements

• Strong background in systems engineering.
• Experience with machine learning technologies.
• Familiarity with ML optimizations and compilers.
• Ability to work on large-scale systems.
• Excellent problem-solving skills.
• Strong communication and collaboration abilities.
• Passion for AI and its transformative potential.
• Experience in software development.
• Ability to work in a fast-paced environment.
• Willingness to learn and adapt to new technologies.

Benefits

• Opportunity to work with leading experts in AI.
• Engage in innovative projects.
• Contribute to meaningful advancements in AI.
• Dynamic and collaborative work environment.
• Potential for professional growth and development.
• Competitive compensation package.
• Flexible work arrangements.
• Access to cutting-edge technologies.
• Supportive team culture.
• Work on impactful projects that shape the future of AI.