Work directly with customers to understand their infrastructure and deployment requirements.
Deploy and maintain Comet across Kubernetes and cloud environments.
Troubleshoot infrastructure and deployment issues involving Kubernetes, networking, cloud services, databases, and application configuration.
Own customer issues from investigation through resolution, collaborating with Engineering, Support, and Customer Success when needed.
Develop and improve Helm charts, Terraform, deployment tooling, automation, and documentation.
Participate in technical customer calls and explain complex topics clearly.
Use AI tools for troubleshooting, development, automation, and investigation while validating their results.
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About Comet
Comet is revolutionizing how machine learning and large language model (LLM) lifecycles are managed. They build tools that empower data scientists, engineers, and team leaders to track, compare, explain, and optimize models from training through production. Their platform helps organizations of all sizes, from startups to enterprise companies, streamline their ML workflows and realize the full potential of their AI initiatives. An estimated 70% of people in North America have interacted with a machine learning or deep learning model that was trained using Comet's platform.
How We Work
Comet operates as a remote-first company with offices in New York City (USA) and Tel Aviv (Israel). They champion a collaborative environment, with employees from over 14 countries working together towards a collective goal. The company values ownership, autonomy, curiosity, continuous learning, and clear communication. You'll find a balance between professional growth and personal life here, with flexibility in work hours to accommodate global team collaboration.
Engineering at Comet
Comet is at the forefront of AI development, building a platform that simplifies the complex ML workflow. Engineers here solve challenges related to experiment management, model management, and production monitoring. Their open-source LLM evaluation framework, Opik, is a popular tool in the space. You will work with cutting-edge technologies, building observability tools for LLM applications and RAG systems. They emphasize a pragmatic approach to shipping fast, learning from users, and continuously improving products. Engineers collaborate closely with AI researchers to implement advanced evaluation methodologies and integrate with popular LLM frameworks.
Why Join Us
Accelerate the development of impactful AI technology alongside a passionate team.
Contribute to an open-source platform, Opik, used by thousands of researchers and engineers.
Work with cutting-edge technologies in machine learning and large language models.
Grow professionally through diverse opportunities in a collaborative, remote-friendly environment.
Benefits & Perks
Competitive salary and equity packages.
Healthcare, dental, and vision insurance (where applicable).
401K account.
Vacation and parental leave.
Flexible working hours and remote/hybrid work options.