Senior ML Infrastructure / ML DevOps Engineer

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Pathway

Pathway is shaking the foundations of artificial intelligence by introducing the world’s first post-transformer model that adapts and thinks just like humans.

Pathway’s breakthrough architecture (BDH) outperforms Transformer and provides the enterprise with full visibility into how the model works. Combining the foundational model with the fastest data processing engine on the market, Pathway enables enterprises to move beyond incremental optimization and toward truly contextualized, experience-driven intelligence. The company is trusted by organizations such as NATO, La Poste, and Formula 1 racing teams.

Pathway is led by co-founder & CEO XXXX XXXX, a complexity scientist who created a team consisting of AI pioneers, including CTO XXXX XXXX who was the first person to apply Attention to speech and worked with Nobel laureate XXXX XXXX at Google Brain, as well as CSO XXXX XXXX, a leading computer scientist and quantum physicist who obtained his PhD at the age of 20.

The company is backed by leading investors and advisors, including TQ Ventures and XXXX XXXX, co-author of the Transformer (“the T” in ChatGPT) and a key researcher behind OpenAI’s reasoning models. Pathway is headquartered in Palo Alto, California.

We are looking for a Senior ML Infrastructure / DevOps Engineer who loves Linux, distributed systems, and scaling GPU clusters more than fiddling with notebooks. You will own the infrastructure that powers our ML training and inference workloads across multiple cloud providers, from bare‑bones Linux to container orchestration and CI/CD.

You will sit close to the R&D team, but your home is production infrastructure: clusters, networks, storage, observability, and automation. Your work will directly determine how fast we can train, ship, and iterate on models.

Pathway