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About the Role We're looking for an AI/ML Engineer with strong hands-on mobile app experience to help build and scale the intelligence layer behind Nuo from voice-based stress detection to personalised recovery scheduling directly within our Android (and eventually iOS) app. This is a high-ownership role for someone who can work across the ML pipeline and ship production mobile features, not just research in a notebook. Responsibilities Design, train, and deploy ML models for voice-based stress/emotion detection, sleep-pattern inference, and calendar-gap analysis to personalise recovery recommendations. Build and optimize on-device inference pipelines (e.g., TensorFlow Lite, ONNX Runtime, PyTorch Mobile) so voice processing happens on the spot and nothing is stored, in line with our privacy-by-architecture principles. Work closely with mobile engineers to integrate ML models into the Android app (Kotlin/Java) with a focus on low latency, low battery/resource impact, and background reliability. Develop the personalization logic behind the Recovery Score (0100) combining neuro reset usage, voice stress trends, sleep, and calendar headroom into a single trajectory metric. Build and refine the recommendation/scheduling engine that decides which neuro sound reset to deliver, and when, based on real-time signals. Own the full ML lifecycle: data pipeline, feature engineering, model training/evaluation, deployment, monitoring, and iteration based on real user data. Collaborate with product and audio/science teams to translate neuroscience research (Beta/Alpha/Theta wave protocols) into measurable, personalised ML-driven interventions. Ensure all ML processing respects strict privacy constraints no raw audio storage, on-device or ephemeral processing wherever possible. Continuously monitor model performance in production and iterate based on user outcomes and feedback. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.