offres d'emploi IT & Développeurs en Suisse

SNAQ jobs

Senior Applied AI Engineer (Full-Time, CH-Based)

CHF 110’000 - 140’000
SNAQ
Sihlquai 131, Zurich + Remote (CH)
CHF 110’000 - 140’000
Taille icon
Taille
<50
Type d'entreprise icon
Type d'entreprise
Startup
Niveau icon
Niveau
Senior
Type d'emploi icon
Type d'emploi
Plein temps
Langue icon
Langue
Anglaise
Parrainage de visa icon
Parrainage de visa
Non

Exigences

Obligatoire:
🚀 Who You Are - You ship. You're hands-on, learn fast, and love turning ideas into working products. - You embrace the startup journey, tackling challenges with resilience, adaptability, and a 'figure it out' mindset. - You don't wait for permission. You spot opportunities, test ideas, and push things forward. - You live at the intersection of research and product, obsessed with turning cutting-edge AI into real user value. - You're a team player who gives honest feedback, takes it well, and does whatever it takes to win together. - You genuinely care about users. Building AI that helps people live healthier lives isn't just work, it's what gets you excited. - You communicate clearly and are fluent in English. German is a bonus. 🎯 What You Bring - You've shipped AI agents and LLM-powered features to production, ideally in consumer-facing products. - You're deep into prompt engineering, tool use, orchestration, RAG, and fine-tuning. - You're proficient in Python and LLM tooling (OpenAI, Anthropic, or similar) - You understand ML fundamentals and know when to reach for an off-the-shelf model versus building something custom. - You care about AI safety and reliability, especially when health is on the line. - Experience with health / nutrition data, CGM data, or digital health products in metabolic or chronic disease is a plus. - Experience with PyTorch, MLOps and AWS is a plus. - BSc / MSc in Computer Science, Machine Learning, or similar.

Responsabilités

🔥 What You’ll Do As Senior AI Engineer, you'll own the intelligence behind SNAQ. You'll make the app smarter, more personal, and genuinely helpful. Here's what that looks like: - Evolving our AI Nutrition Coach: The foundation is live. Now make it exceptional. Improve conversation quality, deepen personalization using user data and patterns, expand what the coach can help with, and ship features that actually change habits. Next up: voice mode. - Building AI Agents: Design agents that work behind the scenes, automating meal analysis, processing data pipelines, and generating proactive health insights before users even ask. - Leveling up AI features: Push our meal photo analysis, glucose predictions, and recommendations further with better models and smarter integrations. - Integrating LLMs and AI services: Evaluate, integrate, and fine-tune the best models out there to deliver responses that are reliable, contextually smart, and safe for health-related conversations. - Collaborating across the stack: Work hand-in-hand with mobile and backend engineers to make AI feel native to the product, not bolted on.

Méthodologie

La description


🚀 Join Our Mission to Transform Metabolic Health Hi there 👋, at SNAQ we're building the future of metabolic health. Our award-winning app turns meal photos into instant nutrition insights and pairs users with an AI coach that learns their unique patterns and guides them toward better blood sugar control and healthier habits. 250,000+ people already trust SNAQ to manage their nutrition across type 1 diabetes, type 2 diabetes, pre-diabetes, and obesity. We're a lean, ambitious, and fully remote team on a mission to reveal the impact of food on health and bring SNAQ to millions. To get there, we're looking for an Senior AI Engineer to supercharge our nutrition coach and push the boundaries of what AI can do for people's health. You'll have real ownership, real impact, and a front-row seat in shaping both the product and the culture. 🌟 Why This Role is Exciting Right Now We've shipped the foundation of our AI nutrition coach, and now it's time to make it exceptional. Picture this: an AI companion that truly understands what it means to live with a metabolic condition. It knows your eating habits, how your body responds to different foods, your routines, your stress patterns, your sleep. It coaches you through meals, reminds you when something's off, and helps you make better decisions throughout the day. Not generic tips. Real guidance based on real data. That's where we're headed. You're joining at the right moment. The core is live, users are engaging, and there's a clear roadmap of high-impact features ready to be built: personalized meal recipes, proactive insights, deeper personalization, voice interaction etc. This is your chance to shape how AI can genuinely help people live healthier lives. 🎁 What We Offer - Real impact. Your work will help hundreds of thousands of people manage their metabolic health better, every single day. - A strong AI foundation to build on, with plenty of room to shape what comes next. - Fully remote setup, with the team coming together twice a year for in-person offsites. Note: We require you to be located in Switzerland and will not be able to support a relocation. - A flat, collaborative team that values openness over hierarchy. - Competitive salary and equity. 🎯 Our Hiring Process 1. Intro call: A relaxed 20-minute chat with one of the founders. We'll get to know you, share what life at SNAQ is like, and answer any questions you have. 2. Take-home task: A practical AI challenge based on real problems we're solving. No domain knowledge required. 3. Technical deep-dive: A 45-60 minute conversation where we dig into your expertise, walk through your task, and make sure it's a fit for both sides. 4. Meet the team: A casual chat with a few of the people you'd be working with day-to-day. No agenda, no evaluation - just a chance to get a real feel for the team and culture before anyone commits. 🛠 Our Stack AI/ML: Python, LLM APIs (OpenAI, Anthropic), PyTorch Backend: Python, GraphQL, Spring Boot, SQL, AWS Mobile: Flutter Infrastructure: Docker, AWS Tools: Claude Code, Codex, Conductor and whatever AI tools help you move faster Sounds like you? We'd love to chat, whether it's a video call or coffee in Zurich.

Avantages

job benefits iconActions de l'entreprise
job benefits iconTemps de travail flexible
job benefits iconEquipe internationale
job benefits iconBureau entièrement à domicile / travail à distance
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Vous pouvez trouver les statistiques salariales des Ingénieur Machine Learning salaires en Suisse.

Combien y a-t-il d'emplois Ingénieur Machine Learning dans en Suisse?

Actuellement, il y a 239 ML, AI travaux. Consultez également: TensorFlow offres d'emploi, Python offres d'emploi, Computer-Vision offres d'emploi - tous avec des échelles de salaire.

Est De la Suisse est un bon endroit pour les Ingénieurs Machine Learning?

La Suisse est l'un des meilleurs pays pour travailler comme Ingénieur Machine Learning. Il a une communauté de startups dynamique, des hubs technologiques en pleine croissance et, le plus important : de nombreux emplois intéressants pour les personnes qui travaillent dans la technologie.

Quelles entreprises embauchent pour des Ingénieur Machine Learning offres d'emploi en Suisse?

SNAQ, Threema GmbH, Scalera AG, Rockstar Recruiting AG, Lobsiger & Partner GmbH, devedis, ineexa entre autres, recrutent actuellement pour des postes ML, AI en Suisse.

L'entreprise avec le plus d'ouvertures est Rockstar Recruiting AG car ils embauchent pour 31 différents Ingénieur Machine Learning offres d'emploi en Suisse. Ils sont probablement assez déterminés à trouver de bons Ingénieurs Machine Learning.