Who we are

Yubo is the Social Discovery app to make new friends and hang out online. By eliminating likes and follows, we empower our users to create genuine connections and show up as their true selves.

We've pioneered a new way for Gen Z to socialize online, and with millions of active users, our goal is to redefine how we connect today and tomorrow.

Our team is international, multicultural and deeply committed to its mission. As the leading platform to socialize online, we have a special responsibility to build a safe digital space for our community. Safety is embedded in our DNA, and our proactive approach focuses on user protection, support, and education. We also work closely with the broader technology industry to share our knowledge and NGOs create industry-leading child protection standards.

Join us in this exciting journey and help us shape the future of social interactions!

Challenges:

As a Senior Machine Learning Engineer you :

- Work on data science product and safety challenges

- Work with our safety team to improve our prevention and detection mechanisms

- Lead the creation of PoCs for safety or product needs

- Participate in the elaboration of complex machine learning safety product from scratch

- Participate to maintain and improve existing systems

Technical & Mindset Prerequisites

• Professional background:
• 6+ years of professional experience
• Startup / Scale up
• Specific knowledge:
• Must have : Computer vision / NLP / Machine learning experience
• Strong knowledge : Pytorch, tensorflow and scikit-Learn
• Strong knowledge : Python / SQL
• Strong knowledge : Web development (Node.js backend at least)
• Must have : Experience with a project from kickoff to release (Creation, Evaluation, deployment and Monitoring)
• Must have : Experience within a complete software engineering team
• Nice to have : knowledge in ML flow, Machine learning Cycle management
• Nice to have : Experience with scalability challenges
• Bonus : Kubflow, Metaflow...
• Soft skills:
• Goes straight to the point
• Ability to accept or lead the change
• Good popularizer / communicant
• Business/product oriented
• Good priorisation management
• Intellectual curiosity

Technologies we use

• Python, Sql, Tensorflow, scikit-Learn, Pytorch, Kubflow, Node

The recruitement process

• Interview with TAM
• Interview with BackEnd Manager
• Technical test and debrief with the team
• Fit interviews

Our approach to privacy

• As part of your job, you will be working on tools that process personal data relating to Yubo users.
• As a social media platform, we require our employees to have a strong awareness and understanding of privacy issues, and in particular of children's online safety, privacy and well-being.
• Every employee at Yubo is expected to participate in compliance with data protection regulations as well as the continuous improvement of our Privacy & Safety By Design measures.

Join Yubo and help shape the future of Social Discovery while enjoying a culture that values flexibility, well-being, and impact.

This is how our team drives our mission forward:

Small team, Big Impact: we turn every challenge into an opportunity through a strong sense of inventiveness, camaraderie, and support

Ownership and Velocity: we tackle challenges head-on, move quickly, take ownership and think long-term

Trust and Flexibility: We offer a hybrid work model that balances flexibility with collaboration:

- Paris and Île-de-France: 1 day minimum per week at the office

- In Europe: 2 days per month at the office

Safety-Driven Mission: we contribute to making social media safer and we are passionate about it

Enjoy Top-notch Benefits

Culture is central at Yubo, hence the numerous benefits:

Cool Workplace: enjoy our amazing Parisian office and our many hybrid work options

Team Activities: participate in get-togethers, events, and team-building activities

Family-Friendly: we support parents with childcare options and family-friendly policies

Wellness Programs: benefit from comprehensive health insurance, wellness programs, sports classes, and mental well-being initiatives