Build Your Career in Machine Learning
We're looking for people who want to solve real problems. Not just write code, but actually understand what happens when algorithms meet messy data from the real world.
Get in TouchOpen Positions
These roles start in September 2025. We're planning ahead because good hires take time.
Machine Learning Engineer
Full-timeYou'll work on model deployment pipelines. That means taking research prototypes and making them run in production without falling apart.
- Python experience with actual ML frameworks
- Understanding of data preprocessing challenges
- Some experience with cloud platforms
- Bonus if you've debugged model drift issues
Data Infrastructure Specialist
Full-timeSomeone needs to make sure our data pipelines don't break at 3am. That person could be you.
- Experience with data warehousing systems
- Knowledge of ETL processes and tools
- SQL proficiency for complex queries
- Understanding of data quality monitoring
Research Assistant
Part-timeHelp us explore new approaches to common ML problems. This role is perfect if you're still studying but want hands-on research experience.
- Currently enrolled in relevant program
- Strong math foundation (linear algebra, stats)
- Curiosity about how things actually work
- Ability to document findings clearly
What Working Here Actually Looks Like
We're based in Ho Chi Minh City and focus on practical ML applications. The work involves a lot of experimentation, some failures, and occasional breakthroughs.
Most days you'll be debugging models, discussing approaches with teammates, or trying to figure out why a dataset behaves differently than expected. It's not glamorous, but it's real work that matters.
Learning Budget
Access to courses, conferences, and resources you actually want to use
Flexible Schedule
Core hours for collaboration, flexibility around them
Real Projects
Work on problems that have actual impact, not toy examples
Small Team
Your contributions are visible and valued
Hear From The Team
Two people who've been here for a while share what it's actually like.
Henrik Thorvaldsen
Senior ML Engineer
"The best part is working on problems where the solution isn't obvious. We tried four different approaches on a recent project before finding one that worked. That process of exploration is encouraged here, not discouraged."
Bastien Mercier
Data Engineer
"I joined because I wanted to work with Vietnamese market data, which has unique challenges. The scale isn't massive, but the variety is interesting. You get exposure to different problems quickly."
How The Process Works
We're trying to make this straightforward. No brain teasers or whiteboard coding under pressure.
Initial Chat
30-minute conversation about your background and what you're looking for
Technical Discussion
We'll discuss past projects and technical decisions you've made
Small Project
A realistic task similar to what you'd work on here (paid time)
Team Meeting
Meet the people you'd work with and ask them anything