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Feasibility Study AI Nutrition Buddy

Role overview

Qualifications

  • Background in Computer Science or a comparable technical field
  • Experience with app or webapp development
  • Experience with LLMs (prompt engineering, API/interface integration)
  • Structured, independent, and solution-oriented way of working

Responsibilities

  • Contribute to testing the technical feasibility of AI-based meal recognition (image voice)
  • Support the development and implementation of the webapp (backend, database structure, interfaces)
  • Help connect and fine-tune the LLM through prompt engineering
  • Document code, approach, and project progress

Key facts

  • Full time
  • AI Engineer
  • German

Hard skills

Other skills

  • Problem Solving
  • Solutions Focused

About the company

ETH juniors logo

ETH juniors

Business Consulting & Services

Since 1997 ETH juniors has been building a major bridge between university and industry. ETH juniors unites outsourcing, project management, as well as a platform for recruiting and event marketing. We build a bridge between theory and practice, between university and industry. ETH juniors is the junior enterprise of ETH Zurich and is ranked among the top three of 200 junior enterprises in Europe. Led by motivated students, ETH juniors conducts projects for companies, analyses various sets of problems and develops creative solutions. ETH juniors carries out tasks for national SMEs as well as international enterprises, which require additional employees within a short period of time or are in need of some particular knowledge. Thus, new ideas are generated and integrated from a new, unbiased point of view. As a link between university and industry, ETH juniors brings interested students closer to your company while at the same time promoting your enterprise at ETH – a win-win-situation.

Company details

Company typeSME
IndustryBusiness Consulting & Services
Company size51 - 200

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Job description

This is a remote position.

We're looking for project support to work on the technical feasibility and development of an AI-based nutrition coach webapp for teenagers. Rather than counting calories, the app builds on personal eating motives: think taste, budget, sustainability, or social belonging and many more. It gives everyday, non-judgmental recommendations before a meal decision is made, not after. Meal recognition via photo and voice is a core part of the concept, developed and validated together with a Swiss university partner.

Your Tasks

  • Contribute to testing the technical feasibility of AI-based meal recognition (image & voice)
  • Support the development and implementation of the webapp (backend, database structure, interfaces)
  • Help connect and fine-tune the LLM through prompt engineering
  • Research and evaluate suitable state-of-the-art models for image and speech recognition
  • Support the development of the nutrition logic and the personalized recommendation system
  • Contribute to testing scientific accuracy and iterating based on results
  • Document code, approach, and project progress

Requirements

  • Background in Computer Science or a comparable technical field
  • Experience with app or webapp development
  • Experience with LLMs (prompt engineering, API/interface integration)
  • Experience with LLM food recognition or German speach to text models is a plus
  • Interest in nutrition, health, or behavioral design is a plus
  • Structured, independent, and solution-oriented way of working
  • Englisch required, German is a plus



  • Benefits

  • Start: mid-September
  • Duration: Sprint 1, until mid-January, Sprint 2 possible
  • Location: Remote, with occasional on-site meetings in Zurich/Bern
  • Workload: Part-time (approx. 40–60%)
  • Hourly rate: Competitive


  • Salary: -

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    MR

    Marcus Rivera

    Chief Revenue Officer

    m.rivera@company.com
    linkedin.com/in/marcusrivera
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