We’re looking for a Machine Learning Engineer to help build, deploy and support Anomalo’s suite of Generative AI products that process unstructured data and support enterprise customers. This role is part of a new 0-1 product team, where you'll shape product quality and integrate multiple LLMs into real-world applications.
This is a unique opportunity for an ML engineer who thrives in building and launching real-world AI products. If you're excited about applying LLMs to practical use cases, we’d love to hear from you!
Anomalo is the automated AI solution that integrates with the modern data stack to monitor data quality. Using unsupervised learning, it detects complex issues like distribution changes that static rules miss. With built-in root cause analysis, Anomalo identifies anomalies, their causes, and their impact, helping data teams focus on building instead of debugging.
We’re rapidly growing and work with some of the biggest brands leveraging data today, like Block, Discover, Atlassian, and Included Health. Backed by $82M in seed through Series B extension funding from top-tier firms, including SignalFire, Norwest Venture Partners, Databricks Ventures, Foundation Capital, Two Sigma Ventures, and First Round Capital, Anomalo is enabling companies to make better data-driven decisions.
MUTT DATA
Abridge
Intetics
Dropbox
Resilience