Member of Technical Staff - AI / ML Engineer

Domera Labs builds Ami, the first AI companion for seniors. Ami brings the power of a smartphone into a more human form: voice-first and deeply personalized. We at Domera Labs are rethinking human-machine interaction from first principles by introducing a better interface to interact with technology: voice. By combining the most intuitive hardware design with frontier AI, Ami makes AI accessible for the fastest growing demographic worldwide. The goal is to make the everyday life of older adults more seamless while addressing that generation's biggest challenge: loneliness and isolation.

With Ami, we are building the category leader of a new hardware paradigm by creating a full standalone device that aims to make the smartphones of today redundant. The underlying technology of Ami combines a model-agnostic streaming pipeline consisting of proprietary models and off-the-shelf frontier models to create a hyper-personalized and proactive user experience. The backbone of Ami is built by our foundational lab that develops a social intelligence model optimized for social interaction, human behaviour, and interpersonal skills.

Core Responsibilities:

• You will own the intelligence core of the product, end to end.
• Train, fine-tune, and evaluate the models behind the product's conversational behaviour.
• Deploy models to production and keep them fast, reliable, and affordable at scale.
• Refine the full speech pipeline: STT, LLM orchestration, TTS for natural, low-latency conversation.
• Build out the agent harness: scheduled actions that fire reliably, proactive behaviour that feels right, and the guardrails around all of it.

What we are looking for:

• A builder's mindset: ship > fail > learn > improve.
• Stay focused when multiple priorities compete and the ranking is unclear.
• Work seamlessly across research and engineering.
• Can navigate ambiguity and make progress in fast-moving research environments.

This is a founding-level position. You will work directly with the founders, shape the architecture from the ground up, and see your work in users' hands within months, not years.

Technical Requirements:

• Proven experience taking ML systems from experiment to production.
• Hands-on work with LLMs and/or speech models (ASR/TTS); fine-tuning experience is a strong plus.
• Comfort with real-time constraints: streaming inference, latency budgets, graceful behaviour on bad networks.
• Bonus: edge/embedded deployment, agent frameworks, evaluation infrastructure, experience in NLU/NLP.

We consider candidates across experience levels and lean toward senior engineers who have worked directly with frontier AI systems. Python, deep learning frameworks, or distributed computing are non-negotiable for this role.

What you get:

• Founding-team equity and a real say in technical direction.
• A product with signed launch partners, not a demo in search of a market.
• A small team, short decision paths.
• Cash compensation range of CHF 80 - 100k with significant equity incentives.
• Opportunity to shape the future of hardware and social intelligent AI models.