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Machine Learning Engineer

Machine Learning Engineer

NutriLab SingaporeSingapore, Pedra Branca, Singapore
1 day ago
Job description

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IB student at St. Joseph’s Institution | Founder & Director of NutriLab Singapore

Company Description

NutriLab is a healthtech startup building the first explainable AI food scanner — instead of just counting calories, we break meals down ingredient by ingredient using computer vision and LLMs.

We’re backed by early seed funding and won Most Impactful & Overall Best at the Young Trailblazers 2024 startup competition. Our first public beta is approaching — and we’re ready to scale what we've built.

The core pipelines are already up and running :

  • AI-generated meal summaries and a nutrition chatbot

We're now working on next-gen features — smarter food classification, volume inference from images, and deeper explainability layers.

Role Description

This is a real product development role , not a toy internship.

You’ll help ship actual features into production. Depending on your background, you might :

  • Refine and evaluate our LLM-based nutrition engine
  • Build tools that make the AI’s reasoning transparent to users
  • Develop MLops for rollback capability, evaluation, and fine-tuning during deployment
  • You'll work independently on scoped tasks, but with weekly async check-ins , mentorship, and feedback. Think of this as a startup-style team — lean, fast, and highly collaborative.
  • You don’t need a degree — just proof that you know how to build. We value portfolio projects , GitHub repos, and past experience more than your resume.

    Must-Have :

  • Experience with image-based ML (e.g., OpenCV, torchvision, segmentation)
  • At least one of the following : (a) Image segmentation or object detection (b) Monocular depth estimation (c) Prompt engineering or LLM evaluation (d) Data wrangling and model performance evaluation
  • Ability to work independently, but open to feedback and team alignment
  • Nice-to-Have :

  • Docker, APIs, or microservices experience
  • Exposure to vector search (e.g., Qdrant)
  • Interest in healthtech, nutrition, or ethical / explainable AI
  • Compensation

    This is an unpaid role, but it’s designed to give you :

  • Ownership over real features that ship to users
  • Recognition on our website and socials
  • Strong recommendation letters and references for future opportunities
  • A chance to work on an actual AI product — not a sandbox demo
  • Seniority level

    Seniority level

    Entry level

    Employment type

    Employment type

    Part-time

    Job function

    Job function

    Engineering and Information Technology

    Industries

    Public Health

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    Machine Learning Engineer • Singapore, Pedra Branca, Singapore