Role overview
Required qualifications/experience:**
We value curiosity, initiative, and a growth mindset. Not every box needs to be ticked to apply.
- Education & Background: Master's degree (or final year) from a top engineering school or university in Data Science, Computer Science, Engineering, or a related field
- Experience (academic or personal projects) in Computer Vision and/or Deep Learning
- 0-2 years of professional experience, with strong academic credentials and demonstrated project work
What we're looking for
- Structured approach: you organize your work methodically and follow best practices
- Strong communication skills: you can clearly explain technical concepts and collaborate effectively
- Proactive, execution-oriented mindset with initiative: you identify problems, propose solutions, and take ownership
- Ability to navigate and contribute in multi-disciplinary environments, including cross-functional discussions
- Eager to learn and comfortable with ambiguity
We don't expect you to know everything from day one. What matters most is your curiosity, drive to learn, and willingness to dive into challenges.
Interview process
- 30-min call with the Hiring Manager
- A technical case study followed by a 45mns debrief with team members
- 1 hour Founders interview
- Reference calls
You might also be invited to meet other team members at the office for a lab visit and a coffee!
This is a unique opportunity for someone who thrives on curiosity and has a genuine passion for technology. If you enjoy taking on challenges and solving complex problems, this role will provide the perfect environment for growth and impact. The ideal candidate is someone who is self-driven, eager to learn, and excited to contribute to shaping the future of microbiology monitoring. Join our innovative and dynamic team, and let's make a difference together! We look forward to meeting you!