Omen AI
Lab Manager
San Francisco
Sponsorship not specifiedDetected 30 days ago
Machine LearningSupply ChainProcurement
About the role
- With this data we can automatically match anomalies with failure modes weeks to months before catastrophic failure occurs.
- Our machine learning and hardware teams rely entirely on your results as their ground truth.
- Assist in management/procurement for adjacent equipment like resin 3d printers. Safety & Compliance: Establish and enforce safety protocols.
Responsibilities
- implement rigorous QA/QC practices, including running blanks, calibration
- Integrate: Develop robust sample preparation methodologies for
- build out the automated pipeline.
- Automate: Collaborate closely with the R&D team to transition manual
- Supply Chain & Inventory: Manage procurement for all lab consumables,
Requirements
- primarily biology-oriented background provided you have some
- experience with organic and/or physical chemistry.
Nice to have
- preferred, with bio experience as a plus.
Benefits
- Our machine learning and hardware
Company info
- Omen is miniaturizing lab-grade spectroscopy into field-deployable embedded
- Our systems deliver PPM-level trace analysis reports on the fluids in
- industrial machines and datacenters, allowing us to detect complex wear trends
- like hydraulic cylinder failures or coolant contamination in real-time.
- data we can automatically match anomalies with failure modes weeks to months
- before catastrophic failure occurs.
- Our team is a tightly knit group of ~20 builders, dropouts, and industry veterans.
- We don't build things that are good enough, we build things that are 100x better.
- The Challenge
- We are currently developing two primary systems:
- Omen Scout: for closed-loop hydraulic and lubricating oils.
- Omen Sentry: for direct-to-chip liquid cooling loops (typ. water/glycol
- To validate our portable hardware and train our predictive machine learning
- models, we need a high volume of ground-truth data.
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This listing is sourced directly from Omen AI's careers page and normalized into a canonical job model.