At a Glance
- Tasks: Lead the design of advanced recommendation systems to enhance user discovery.
- Company: Join DEPOP, a forward-thinking platform revolutionising user experiences.
- Benefits: Enjoy flexible working, 25 days annual leave, and a cycle-to-work scheme.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
- Why this job: Drive innovation in machine learning and make a real impact on user engagement.
- Qualifications: Proven experience in designing large-scale recommendation systems and strong Python skills.
The predicted salary is between 70000 - 90000 £ per year.
DEPOP is seeking a Staff Machine Learning Scientist to lead the design of advanced recommendation systems that enhance user discovery. In this role, you will drive innovation in machine learning, mentor team members, and collaborate across teams to achieve impactful outcomes.
You will have a proven track record in designing large-scale recommendation systems and excellent programming skills in Python, with experience in tools like PyTorch and TensorFlow.
Flexible working options and generous benefits including 25 days of annual leave and a cycle-to-work scheme are offered.
Staff ML Scientist: Next-Gen Recommendation Systems employer: Depop
DEPOP is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Staff Machine Learning Scientist to thrive. With flexible working options, generous benefits such as 25 days of annual leave, and a commitment to employee growth through mentorship and cross-team collaboration, DEPOP provides a rewarding environment for those looking to make a significant impact in the field of machine learning.
