Discover Symbotic’s end-to-end warehouse automation solutions trusted by leading retailers and distributors. Backed by SoftBank VF.
About the role
Build and improve machine learning deployment infrastructure for large-scale robotic fleets. Partner with ML researchers to transition new models from experimentation into production.
What they're looking for
- Minimum of 4 years of related experience
- Strong hands-on Python development skills
- Experience building machine learning models from scratch
- Experience with PyTorch and/or TensorFlow
- Experience with predictive modeling and time-series analysis
- Strong understanding of machine learning deployment and operationalization
More about this role
With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system – reinventing warehouse automation for increased efficiency, speed and flexibility.
We are seeking a Senior ML Operations Engineer with strong machine learning fundamentals and hands-on software engineering experience. This individual will help productionize ML systems, improve robot health monitoring capabilities, build scalable deployment pipelines, and collaborate with ML researchers to bring new models into production robot environments. The ideal candidate combines machine learning expertise with MLOps, distributed systems, and robotics experience.
Build and improve machine learning deployment infrastructure for large-scale robotic fleets.
Partner with ML researchers to transition new models from experimentation into production.
Design and implement predictive health monitoring solutions for autonomous robotic assets.
Create automated monitoring, telemetry analysis, dashboards, and KPI reporting systems.
Develop data pipelines for dataset curation, labeling,...
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