Produce high-quality technical video content: tutorials, demos, explainers, live coding sessions
Write technical blog posts, notebooks, and guides that showcase Opik in real-world agentic workflows
Build creative technical demos that highlight use cases for evaluation, tracing, and observability
Show up on social (X, LinkedIn, YouTube) as a genuine voice in the AI developer ecosystem
Be active in the communities where our users live: Discord, Slack groups, Reddit, GitHub, etc. discussions
Attend and speak at SF-based and national AI events (conferences, meetups, hackathons)
Identify and engage with influential developers and open source contributors
Run or support technical workshops, paper readings, and community programming
Surface developer sentiment and friction points back to Product and Engineering
Be a voice of the community inside the company: what are developers actually struggling with?
PythonContent creationLLM
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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.