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Machine Learning Scientist - Voice Interface Personalization

United States
Visa Sponsorship
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AI Summary

Build and scale the first voice interface used by a billion people, focusing on ML personalization, speech model training, and LLM fine-tuning. Design infrastructure for sub-500ms LLM inference across global requests. Prototype new features and improve models using RL techniques.

Key Highlights
PhD in machine learning or related field required
Strong publication record at top conferences (ICML, NeurIPS, ICLR, ICASSP)
Fluency in Python and LLM development
Sub-500ms LLM inference infrastructure for millions of requests

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Key Responsibilities
Prototype and design new features of the voice interface
Build infrastructure to handle sub-500ms LLM inference for millions of requests
Scale personalization of speech models and LLMs
Train speech models
Use fine-tuning and RL techniques to improve LLMs

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Technical Skills Required
Python LLM development Speech model training

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Benefits & Perks
Equity on employee-friendly terms
Health, dental and vision coverage
401(k) with up to 4% match

Job Description

We're building the first voice interface a billion people use every day.Our first product, Flow, lets you talk instead of type anywhere on your computer or phone, and turns messy speech into polished text that is ready to send. It's scaled from $2M → $50M in ARR in under 12 months with millions of users and thousands of enterprise customers. Read the master plan →The team is still small enough that every person shapes what gets built.
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Job Overview
Posted Jul 29, 2026
Employment Full-time
Experience Not Applicable
Location United States
Category Machine Learning
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