AI Researcher / ML Engineer (ASR & Speech Specialist)
Lilt- Lega Italiana per la Lotta contro i Tumori
San Francisco, CA, US
Onsite
2026-06-21
Typical pay for this role in San Francisco
$113K - $196K
Low
$113K
Median
$149K
High
$196K
Official salary benchmark · BLS OEWS 2025
Job description
**About LILT**
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**AI is changing how the world communicates — and LILT is leading that transformation.**
We're on a mission to **make the world's information accessible to everyone**, regardless of the language they speak. We use cutting\-edge **AI, machine translation, and human\-in\-the\-loop** expertise to translate content faster, more accurately, and more cost\-effectively without compromising on brand, voice, or quality.
At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues—**Work together, win together; Find a way or make one; Quicker than they expect; Quality is Job 1**—guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we’re building a category\-defining company in a $50B\+ global translation market being redefined by AI.
**Role Summary**
----------------
We are seeking a highly skilled and visionary **Senior AI Researcher / Machine Learning Engineer specializing in Automatic Speech Recognition (ASR)** to anchor our core speech intelligence and benchmarking initiatives. In this role, you will serve as our principal subject matter expert in AI speech data processing, responsible for architecting, training, and scaling high\-performance, multilingual ASR models, as well as developing rigorous quality benchmarks for agentic conversational AI.
A critical component of this position involves developing robust domain\-adaptation frameworks that allow our models to dynamically incorporate proprietary customer terminology, specialized industry jargon, and multilingual nuances. You will collaborate with the Engineering, Product, and AI Research teams to transform state\-of\-the\-art speech research into production\-ready systems powering on\-device real\-time streaming translation