Machine Learning Lead (Personalization)
TEC Partners - Technical Recruitment Specialists Berlin, Germany (Remote)
Your Mission
Our client is seeking an enthusiastic Machine Learning Lead to drive the development of recommendation algorithms that will enhance the learning experience for their users. You will lead a team of skilled machine learning engineers, collaborate with developers, and report directly to their Co-Founder and CTO.
What You'll Do:
- Lead a team of machine learning engineers in a fast-paced, dynamic environment.
- Oversee the creation and scaling of recommendation algorithms, including content recommendations within the platform.
- Deploy recommendation algorithms to serve over 12 million students.
- Design algorithms to efficiently explore users' latent interests using large, diverse datasets.
- Collaborate with the search team to improve search relevance through personalized recommendations.
Why This Role is Exciting:
- Shape the future of the recommendation system, directly impacting students' success.
- Be part of a fast-growing EdTech startup, driving expansion across the globe.
- See your work positively impact millions of students worldwide.
Your Experience and Skills
- Proven experience leading engineering teams.
- Hands-on experience building personalization and recommendation systems (e.g. collaborative filtering, matrix factorization, deep learning).
- Strong passion for product development and problem-solving.
- Eager to learn new technologies and apply creative solutions.
- Fluent in English.
- Action-oriented with a focus on delivering results quickly.
- User-centric mindset with a commitment to creating impactful experiences.
What They Offer
- Health & Fitness: Sports Club, become.1, Likeminded memberships.
- Perks: Discounts via corporate benefits, FutureBens, and Plantclub.
- Social: Regular team events, company-wide gatherings, and wellness activities.
- Growth: Personal development budget, hackathons, and mentoring opportunities.
- Work Environment: Office perks like breakfast, snacks, and drinks, plus a dog-friendly space.
- Remote Flexibility: Hybrid work options, travel budget, and team workations.