Job Description

Technical Lead, Cloud & ML Systems – Applied Research Lab, Menlo Park

Are you passionate about building cutting-edge infrastructure to support AI research and deployment? Do you thrive in scaling applications from 0 to 1 and working at the intersection of research and product development? Join our Applied Research Lab in Menlo Park as a Technical Lead, Cloud & ML Systems and help shape the future of machine learning systems!

What You'll Do:

• Design, build, and scale robust infrastructure for ML model development, training, and deployment.
• Optimize and manage MLOps pipelines, including data pipelines, training workflows, and model-serving infrastructure.
• Work with cloud platforms (AWS, GCP, Azure) and container orchestration technologies to ensure high availability and scalability.
• Collaborate closely with researchers and product teams to bridge the gap between innovation and practical implementation.
• Mentor and guide junior engineers in best practices for system design, ML infrastructure, and MLOps methodologies.

What We’re Looking For:

• Proven experience in scaling web/desktop applications from 0 to 1.
• Strong expertise in cloud computing platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker, etc.).
• Hands-on experience in MLOps: designing and maintaining data pipelines, training workflows, and model-serving systems for cutting-edge AI models.
• Deep understanding of the research-product tension and ability to balance rapid iteration with scalable system design.
• Strong leadership skills, with experience managing and mentoring high-energy, motivated teams.

Why Join Us?

• Work on some of the most exciting challenges in applied AI and ML infrastructure.
• Be part of a dynamic, collaborative team that values innovation and technical excellence.
• Competitive salary, benefits, and opportunities for professional growth.

If you're ready to build and scale the backbone of AI research and deployment, we’d love to hear from you! Apply now to join our team in Menlo Park.

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