AI Phone - Applied ML / Model Engineer
Bjak, United States
About the job
About
We are reimagining the phone. AI phones need to be proactive, intuitive, intelligent and low cost. This is a mission critical for rest of the world to adopt intelligence.
There are over 5 billion people using everyday applications such as email, messaging, notes, tasks, and calendars, yet most are not AI-native. Our mission is to build proactive applications and devices that bring intelligence into daily conversations, coordination and workflows, with minimal prompting.
Responsibilities
- Evaluate existing foundation models (e.g. Qwen, Llama, Gemma and other suitable open-weight models) against our target phone use cases.
- Identify which capabilities can be handled by existing models and where additional model adaptation or fine-tuning is needed.
- Experiment with SFT, LoRA/QLoRA and other lightweight fine-tuning techniques for specific use cases.
- Improve model performance for intent recognition, instruction following, tool calling, structured outputs, and multi-step task execution.
- Explore synthetic data generation and dataset construction for phone-specific workflows.
- Build evaluation datasets and benchmarks to measure model quality, reliability, and task completion.