LILT
Android Application Engineer
Washington D.C · Senior
Sponsorship not specifiedDetected 28 days ago
SwiftKotliniOSAndroidGitCI/CDMachine LearningTensorFlowLLMsAgentic AISalesforceWebflowResearchCommunicationCollaboration
About the role
- ABOUT LILT AI is changing how the world communicates - and LILT is leading that transformation.
- 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.
Responsibilities
- microphone capture, TTS/speaker output, and low-latency audio pipelines (including USB microphone support)
Requirements
- 4+ years of professional Android development (Kotlin), with a track record of owning a production Android app end-to-end - architecture, implementation, release, and field reliability
- Experience integrating native libraries via NDK/JNI (ML runtimes, audio engines, or similar)
- Comfort optimizing performance on physical devices - memory, latency, thermal behavior under sustained workloads
- Experience with offline-first applications and large on-device assets (multi-GB model files, packaging, sideloading)
- Deep speech/audio domain expertise beyond app integration - e.g. tuning latency/quality tradeoffs, noise handling and audio preprocessing, model quantization on mobile SoCs, or direct work with speech model runtimes
- 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.
Nice to have
- Bias toward shipping reliable software in demanding, real-world conditions
- On-device ML runtime integration (ONNX Runtime, TensorFlow Lite, or Qualcomm QNN / Snapdragon NPU acceleration)
- External display / kiosk UX (HDMI output, presentation layers, broadcast-style overlays)
Company info
- Our founders, Spence and John met at Google working on Google Translate.
- As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone.
- While together at Google, they were amazed to learn that Google Translate wasn't used for enterprise products and services inside the company.The quality just wasn't there.
- So they set out to build something better.
- LILT was born.
- LILT has been a machine learning company since its founding in 2015.
- At the time, machine translation didn't meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap.
- While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI.
- With AI innovation accelerating and enterprise demand growing, the next phase of LILT's journey is just beginning.
- What sets our platform apart:
- Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent
- Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing
- 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation
- Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review
Visa & Work Authorization
- If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
This listing is sourced directly from LILT's careers page and normalized into a canonical job model.