Machine Learning Engineer
Train and ship the speech, language, and conversation models that decide whether enterprise customers trust us with their calls.
- Engineering
- Bengaluru, India (Hybrid)
- Hybrid
- Full-time
About OneInbox
- We're putting voice at the heart of how enterprises actually run.
- We're the production-grade voice AI platform built for Japan and Asia-Pacific.
- We're handling millions of real calls every month — in Japanese, English, Hindi, and Arabic — for banks, real estate firms, and government services.
- Try OneInbox today.
Why we're hiring this role
- Voice AI in regulated enterprise contexts lives or dies on real production metrics — not benchmark scores.
- We have proprietary call data across multiple languages and verticals — and not enough hands on it.
- The next 12 months of model improvements directly determine our ceiling on enterprise expansion.
What you'll be doing
First 30 days
- Get hands-on with the current speech and conversation stack — ASR, TTS, intent, LLM orchestration.
- Set up your evaluation harness against real production call data, not synthetic benchmarks.
- Identify the 3 highest-leverage model improvements based on customer-visible metrics.
First 60 days
- Ship a measurable improvement to one production-critical model.
- Define and own the evaluation pipeline that the rest of the team will trust.
- Reduce inference latency or cost on at least one hot path without dropping accuracy.
First 90 days
- Ship a second model improvement, this time in collaboration with engineering and product.
- Stand up a continuous training and eval loop that runs unattended.
- Document the model surface so the next ML hire ramps in half the time.
Who you are
- 3+ years of applied ML — speech, NLP, or LLM specialization preferred.
- Comfortable with PyTorch, Hugging Face, and modern training infrastructure.
- You've shipped ML to production and felt the difference between offline and online metrics.
- Strong instinct for when to fine-tune, when to retrieve, and when to engineer the prompt.
- Bonus: experience with multilingual or low-resource language modeling.
Why OneInbox
- Generational impact: build the voice layer that every APAC enterprise eventually runs on.
- Ownership culture: you'll work close to the founders and ship in days, not quarters.
- Kind, high-bar team: senior operators who've built and led at scaled companies — and are easy to work with.
- Strong backing: institutional investors and committed enterprise customers from day one.
What we offer
- Real ownership: competitive salary and meaningful equity for early team members.
- Health coverage: medical, dental, and vision for you and your dependents.
- Team time: regular in-person off-sites across Tokyo, Singapore, Dubai, and Bengaluru.
- Flexible time off: take what you need, when you need it.
- Learning budget: dedicated annual L&D, plus conference and travel support.
- Daily essentials: catered meals on office days, commuter support, and wellness benefits.
