Member of Technical Staff - Post Training, Applied (Audio)

On Liquid’s Applied ML team, you’ll adapt our audio models for enterprise products where a spoken request needs to trigger the right action. When someone asks a voice assistant to “turn down the passenger-side temperature,” the model needs to select the right tool, pass the right arguments, and confirm what changed, even in a noisy cabin.

You’ll work directly with customers to define what reliable behavior looks like, then own the data, post-training, evaluation, and delivery needed to achieve it. What you learn from those deployments will help improve Liquid’s audio models and post-training pipelines.

The work

• Lead the technical work on enterprise audio engagements, from scoping the customer’s use case and target hardware through model delivery.
• Build evaluations that combine automated checks with human listening. Measure tool selection, argument accuracy, unnecessary calls, task completion, and response latency across speakers and noise conditions.