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- De 85 000 CHF à 100 000 CHF par an
- 100%
- Niveau Master
- Python
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il y a 5 jours
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Member of Technical Staff - AI/ML Engineer

Domera Labs
Zürich, ZH

Postuler rapidement

Détails de l'emploi

100%
De 85 000 CHF à 100 000 CHF par an
Il y a 5 jours

Qualifications

Niveau Master
Python

Description complète du poste

Technology that speaks your language

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 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 building a full standalone device (and not a gadget) that aims to makes 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 builds a social intelligence model that is optimized for social interaction, human behavior and interpersonal skills.

Domera Labs has secured large distribution agreements, a model co-development partnership with a leading AI lab, and ODM manufacturing proposals. We are looking for people who want to build at the intersection of human-machine interaction, mass-consumer facing hardware and shape frontier research with social/non-quantifiable benchmarking.

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 behavior
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 behavior 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 behavior 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

We encourage you to apply even if you do not believe you meet every single qualification.

Compensation Range: CHF 85K - CHF 100K

Postuler rapidement

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computing systems engineer emplois

Member of Technical Staff - AI/ML Engineer

TECHNICAL ENGINEER

Principal Engineer, Shopping Graph Core Data

Other jobs to consider

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