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Machine Learning Engineer (Real-Time Speech Translation)
Summary by AIEngineer.careers
Machine Learning Engineer (Real-Time Speech Translation) is a Machine Learning Engineer role (full-time). with LILT. in WASHINGTON, US. Compensation shown: $120K–$161K. Imported listing (source: jobs-radar.com). Apply on the employer's site (jobs-radar.com).
Imported listing (source: jobs-radar.com) · Apply on jobs-radar.com
WASHINGTON · US
$120K–$161K
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobs-radar.com
LILT is seeking a Machine Learning Engineer to work on real-time speech translation systems. The role involves developing and optimizing ML models for low-latency translation. This position requires US citizenship and is based in Washington, DC.
Responsibilities
- Develop and optimize machine learning models for real-time speech translation
- Collaborate with cross-functional teams to integrate translation systems
- Ensure low-latency performance and scalability of models
Requirements
- US citizenship
- Experience in machine learning engineering
- Background in speech translation or related areas
Nice to Have
- Experience with real-time systems
- Familiarity with low-latency optimization
Tech Stack
Machine LearningReal-time SystemsSpeech Translation
LILT
San Francisco · US · 811+ employees
LILT is an AI company providing an end-to-end platform for agentic/enterprise translation and multilingual content production. The platform is used by enterprise teams and governments to customize AI models to translation use cases, automate workflows, and support quality in production.
