Cloudinary

About Cloudinary

Empowering visual experiences through cloud technology

🏢 Tech👥 201-500 employees📅 Founded 2011📍 Santa Clara, CA4.5
B2BDigital MediaSaaSCloud Computing

Key Highlights

  • 8,000+ customers including Forbes & Ted Baker
  • $75 million raised in funding
  • Headquartered in Santa Clara, CA
  • AI-powered FinalTouch platform for product imagery

Cloudinary is a leading cloud-based image and video management platform headquartered in Santa Clara, CA. Trusted by over 8,000 customers including Forbes and Ted Baker, Cloudinary enables businesses to optimize and deliver visual content across websites and apps. The company has raised $75 million ...

🎁 Benefits

Cloudinary offers competitive salaries, equity options, generous PTO policies, and a flexible remote work environment to support work-life balance....

🌟 Culture

Cloudinary fosters a culture of innovation and creativity, prioritizing engineering excellence and a commitment to leveraging AI to enhance visual con...

Cloudinary

Backend Engineer Staff

CloudinaryIsrael

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Overview

Cloudinary is hiring a Staff Backend Engineer to lead the engineering efforts behind their AI Algorithm Platform. You'll work on building scalable, cloud-native systems that connect algorithm research with product innovation. This role requires significant experience in backend engineering and AI technologies.

Job Description

Who you are

You have extensive experience in backend engineering, particularly in building scalable systems that support AI and machine learning initiatives. Your background includes working with cloud-native architectures and you are familiar with GPU-aware systems, which are essential for optimizing AI models. You are passionate about bridging the gap between algorithm research and practical application, ensuring that innovative solutions are effectively integrated into products.

You possess strong problem-solving skills and have a proven track record of leading engineering projects that require collaboration across multiple teams. Your ability to communicate complex technical concepts clearly makes you an effective leader in cross-functional environments. You are also comfortable with MLOps practices, understanding the importance of operationalizing machine learning models in production settings.

Desirable

Experience with specific AI frameworks and tools is a plus, as is familiarity with the latest advancements in media understanding and optimization algorithms. You are always eager to learn and adapt to new technologies that can enhance your work and the team's output.

What you'll do

In this role, you will lead the engineering efforts for Cloudinary's AI Algorithm Platform, focusing on the design and implementation of systems that serve production-grade AI models. You will collaborate closely with research teams to understand their needs and translate them into scalable solutions that can be deployed effectively. Your work will involve re-designing and evolving the platform to meet the growing demands of the organization.

You will also support MLOps initiatives, ensuring that AI models are not only developed but also maintained and optimized for performance in real-world applications. This includes monitoring system performance, troubleshooting issues, and implementing improvements based on feedback from users and stakeholders.

Your leadership will be crucial in fostering a culture of innovation within the engineering team, encouraging experimentation and the adoption of best practices in software development. You will mentor junior engineers, helping them grow their skills and contribute effectively to the team's goals.

What we offer

Cloudinary provides a dynamic work environment where you can make a significant impact on the future of digital media experiences. You will have the opportunity to work with cutting-edge technologies and collaborate with talented professionals who are passionate about their work. We offer competitive compensation and benefits, along with opportunities for professional development and career advancement. Join us in shaping the future of media management and AI-driven solutions.

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