Head of Machine Learning

★ WHO WE ARE

Adikteev, a member of the 2023 "French Tech 120," fuels the app ecosystem by inspiring users to engage with the apps they know and love. Specializing in user retention, we grow in-app revenue and build user loyalty with custom retargeting and churn prediction campaigns.

With over 100 employees and offices in Paris, San Francisco, and Seoul, Adikteev operates worldwide, achieving a 60% revenue growth this year ($50m+ revenues in 2023).

★ HOW WE DO IT

☆ Own It, Live It: Our top priority is making sure our customers are not just happy but thrilled. We're not afraid to make bold moves, take charge of challenges, and see them through to the end.
☆ Rolling with the Changes: We don't just face challenges, we predict them. Agility is our middle name, and we're all about continuous learning. Adaptability is our recipe for success.
☆ Making Waves with Purpose: We're here to make a difference. Every decision and action we take is aimed at making a meaningful impact.
☆ The ADIKTEAM Vibe: It's not just a team; it's the ADIKTEAM. Each one of us is a crucial part of the squad and we're always on the lookout for A+ players.

★ WHAT YOU WILL DO

• Drive and deliver R&D initiatives planned in the company strategy and regularly report progress to the company management.
• Design, deploy, monitor, maintain and improve machine learning and deep learning models in production. You will collaborate with the Engineering team for these purposes. Currently, our models serve diverse needs (user conversion, churn, app recommendation, user segmentation…). They have been developed and improved over the years to optimize their performances while taking into account the main constraints of our industry: inference time and data volume.
• Hire, manage, and coach members of the Machine Learning team.
• Contribute to the definition of the product roadmap based on your own experience and expertise.

★ WHO YOU ARE

You would be a good fit to join the team if you have:

• Masters degree, PhD, or equivalent self-education, preferably in STEM.
• 8+ years of experience working in teams using machine learning to power a core company product or service.
• Good organization and planning skills.
• Technical knowledge - Deep knowledge of statistics and machine learning; deep knowledge of data engineering is a plus.
• Ability to develop people - Coaches people in their current roles to improve performance, and prepares them for future roles.
• Knowledge of adtech or martech is a plus.

★ PERKS AND BENEFITS

• Competitive Salary;
• Performance-based Quarterly bonus with transparent KPIs;
• Profit-sharing scheme ("Prime de participation");
• Longevity bonus every 2 years;
• Healthcare plan with excellent coverage (50% of the contribution covered by Adikteev);
• €9 Lunch Vouchers (Tickets Restaurant - SWILE card - 50% of the contribution covered by Adikteev);
• 4 1/2 days work week (Fridays afternoon off);
• “RTT”;
• 50% of transportation fees covered by Adikteev (Navigo Pass);
• Mental Health support;
• Flexible remote working policy;
• Regular team-life event/activity;
• Parental leave Policy.

★ OUR PROCESS

• A first call with Claire (Talent Acquisition Partner).
• A chat with Loïc (Chief Product Officer).
• A team fit discussion with Nicolas (Senior Data Engineer) and Youcef (Engineering Manager).
• A case study with Xavier (Co-founder and CEO), Clément (Global Chief Operations Officer), Loïc (Chief Product Officer) and Cédric (Chief Technical Officer).

We prioritize people, not just job titles.

At Adikteev, we value talent in all its many forms and qualifications. If, after reading this job description, you feel that the position aligns with your current abilities and career aspirations, we encourage you to apply even if you don't have every skill listed.

Not everyone will make it through our hiring process, but your skills might just be the perfect match for another adventure we have now or down the road.

As an Employer of choice, Adikteev does not and shall not discriminate on the basis of race, color, religion, gender, gender expression, age, national origin, disability, marital status, sexual orientation, or military status, in any of its activities or operations. These activities include, but are not limited to, hiring and firing of staff, selection of volunteers and vendors, and provision of services. We are committed to providing an inclusive and welcoming environment for all members of our staff, clients, volunteers, subcontractors, vendors and clients.