Senior Software Engineer, ML/AI Platform
Senior Software Engineer on the ML Platform team building and operating data, tooling, serving, and inference layers for a PB-scale feature store and ML lifecycle at a high-growth AI marketing company.
Viam is seeking a Lead Software Engineer to lead the Data/ML team, owning technical direction, architecture, and delivery. This hands-on role involves managing a team of 5+ engineers, writing code, and driving the reliability and performance of ML training and inference infrastructure.
We are looking for a Lead Engineer to own the technical direction and delivery of our Data/ML function. This is a hands-on leadership role where you will manage a team, make architectural decisions, and code. The Data/ML team owns the infrastructure that moves data from devices to the cloud and makes it usable across the Viam platform. Performance, reliability, usability, and correctness affect every solution built on Viam. On top of that foundation, the team also owns the ML infrastructure that turns that data into models: training workflows, labeling pipelines, and inference in both cloud and at the edge. Some of the interesting challenges they solve: handling an unusually wide variety of data types from devices that are frequently offline, building auto-labeling and training workflows at scale, and expanding cloud inference across multiple model backends. Tech stack is Go and Python with a Svelte frontend, running ML workloads on GKE using TensorFlow, TFLite, and ONNX, with MongoDB Atlas, GCP, and Azure for the data layer. You will report to the VP of Engineering.
We are looking for a technical lead with strong systems judgment and product instincts who can set direction and stay hands-on.
Senior Software Engineer on the ML Platform team building and operating data, tooling, serving, and inference layers for a PB-scale feature store and ML lifecycle at a high-growth AI marketing company.
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