AI-Data Scientist/Engineer
(Taiwan)
Location: Taiwan
Job Type: Full Time
About Us
Headquartered in Silicon Valley with part of the team based in Taipei, MEandMine (www.meandmine.com) was founded by a diverse team of psychologists, educators, healthcare professionals, game designers, and parents. Our mission is simple yet impactful: to build a happier, healthier future by transforming how children's mental well-being is supported. Combining neuroscience and gamification, we are committed to harnessing technology to address critical human challenges.
Backed by Stanford Medicine, MEandMine is a behavioral intelligence platform that helps students build self-regulation skills and detect early risk signals using proprietary deep learning models. Every day, our platform supports over 50,000 students across 250+ schools and health centers, reducing behavioral incidents by 51% and improving self-regulation skills by 71%. It serves as a co-pilot to our school and health center partners, strengthening MTSS/PBIS (Multi-Tiered System of Supports / Positive Behavioral Interventions and Supports) systems and building a strong preventive layer across the continuum of care.
Role
We’re looking for AI data scientists with expertise to turn these signals into meaningful, actionable insights that drive real-world impact. In our fast-paced startup environment, the ideal candidate is a problem-solver at heart, agile in utilizing AI technology to locate signals. If you’re eager to iterate, innovate, and push the boundaries of what AI can do for mental well-being, we want to hear from you!
Responsibility
- Explore Complex Data: Dive into massive, messy datasets—text, numeric, and behavioral—to surface hidden emotional patterns and social dynamics.
- Rapid Prototyping: Develop ML-powered features like anomaly detection, predictive scoring, and time series analysis—moving from concept to prototype in days, not months.
- Collaborative Development: Partner with product, design, and clinical teams to translate insights into compelling, user-facing experiences.
- End-to-End Model Deployment: Work closely with backend engineers to deploy, monitor, and continuously improve your models in a real-time, low-latency prediction environment.
- Champion Data Culture: Foster a culture of data excellence through dashboards, reproducible notebooks, and constructive, humble code reviews.
You’ll thrive here if you...
- Own the Challenge: You can take an ambiguous problem, chart a clear path forward, and execute independently when needed.
- Have a “Can-Do” Attitude: Obstacles are just opportunities for creative problem-solving.
- Find Joy in Data Discovery: You thrive on uncovering meaningful patterns in messy, real-world data— where others see chaos, you find structure, and you love communicating those insights through clear visuals or models.
- Are Fluent in ML: You know when a simple regression is best, when to reach for deep learning, and can explain your choices with clarity.
Core Qualifications
- 3+ years of professional experience as a Data Scientist, ML Engineer, or Data Engineer.
- Proven experience building and deploying machine learning models at scale (batch and real-time).
- Skilled at wrangling unstructured data and engineering features for behavioral analysis.
- Excellent written and verbal communication skills—you can translate complex math into product impact for a cross-functional team.
Bonus Points
- Advanced SQL skills and hands-on experience with Elasticsearch for text or log analytics.
- Previous experience working with Silicon Valley companies or early-stage startups.