- Location
- San Mateo, CA
- Workplace
- Onsite
- Type
- Full-time
- Department
- Machine Learning
- Visa
- Sponsored
- Source
- Lever
Description
About Us
We are on a mission to bridge the gap between enterprise business knowledge and data, democratizing data discovery and curation to prepare organizations for the era of generative AI. Today's data tools are overly complex, poorly integrated, and siloed, forcing AI Practitioners and data scientists alike to spend more time wrestling with tools, relying on tribal knowledge, and navigating data lakes rather than doing meaningful data science work. The current landscape of data tools and processes is heavily manual and needs to catch up with the vast amount of data generated daily. With the advent of Gen AI and multi-modality, this challenge has only grown more complex and broken.
Backed by top VC funds, we are committed to making enterprise data AI-ready faster, more reliably, and with a stronger foundation of factual semantic knowledge. This leads to more accurate models, superior outcomes, and better business results. Our team of seasoned data infrastructure and machine learning experts (from LinkedIn, Visa, Truera, Hive, and Branch) has spent the past two decades building bespoke systems to solve these very challenges.
Join our growing team of ML research and data infrastructure experts. We're committed to empowering AI and data scientists to seamlessly integrate semantic learning with generative AI. Be part of our journey to shape the future of enterprise AI.
Why this role exists
We're signing enterprises faster than we can model their data.
Every new customer arrives with a data estate nobody has ever mapped. Undocumented tables. Columns named by someone who left in 2019. Business rules that exist only in a sales director's head. Turning that into a semantic model an agent can act on without being wrong is not a pipeline you run. It's a person deciding what correct means in an unfamiliar domain and then proving it.
Skills
PythonMachine LearningNLPTensorFlowPyTorchSparkData Science
Benefits
You'll get better here, fast. Four ML engineers and a director who built LinkedIn's knowledge graph. At this team size, that's not a mentorship program, it's just who you sit next to.Meaningful equity. You're early. The scope and the upside both reflect that.A genuinely unsolved problem. Semantic understanding of enterprise data is the bottleneck on the whole agentic AI thesis, and very few people are working on it at this layer.Real enterprise data, right now. Not a benchmark. Production deployments with messy, high-stakes data across insurance, travel, and technology.Competitive comp, full benefits (medical, dental, vision, 401k). We sponsor H-1B visas and help with immigration.Onsite in San Mateo, flexible hours. We think the hard problems get solved faster in a room together.
