Responsibilities
- Lead the end-to-end development of AI and machine learning products, ensuring high-quality outcomes are delivered on schedule.
- Guide technical architecture choices and shape the long-term product strategy and roadmap.
- Maintain high standards for product performance, security, and reliability using established engineering practices.
- Detect potential risks and interdependencies, and coordinate with related teams to ensure roadmap execution.
- Support and mentor software engineers to advance their technical skills and strengthen team collaboration.
- Contribute to organizational efforts such as hiring, onboarding, and knowledge sharing within the machine learning engineering function.
- Help refine internal workflows, tools, and best practices across the product team and broader engineering organization.
Requirements
- Demonstrated expertise in Python and relevant AI/ML frameworks and development tools.
- In-depth knowledge of cloud platforms and development workflows, with a preference for Google Cloud Platform and experience using VertexAI for machine learning.
- Proven experience with MLOps practices, including testing, monitoring, and managing incidents to maintain system stability.
- Solid background in system design, architectural patterns, performance tuning, and security for AI/ML systems.
- Strong analytical and debugging abilities to resolve software and data-related issues efficiently.
Nice to Have
- Effective communication skills to interact with stakeholders, influence decisions, and align technical work with strategic objectives.
- Skill in jointly developing realistic product roadmaps and proactively identifying risks and dependencies.
- Experience engaging with business partners to interpret requirements and convert them into technical implementations.
- Proven ability to lead technical teams and provide mentorship to junior and mid-level engineers.
- Track record of driving innovation to improve product capabilities, streamline processes, and accelerate delivery.
Benefits
- Comprehensive global benefits package with access to professional development programs worldwide.
- Employee discount card valid across all group brands, both in physical stores and online platforms.
- Eligibility for the company-wide incentive program available to all staff members.
Team
Cross-functional product team consisting of machine learning engineers, data scientists, and data analysts working collaboratively.
WHO WE ARE
The organization is a global collective of fashion brands and innovative ventures aiming to combine great design, affordability, and sustainability. Driven by customer focus and shared values, the company brings together diverse, passionate professionals to advance the fashion industry toward greater inclusivity and environmental responsibility.
WHY YOU’LL LOVE WORKING HERE
Employees enjoy competitive global benefits, including international development opportunities, a comprehensive staff discount across all brands, and participation in the company incentive program. Additional local perks vary by region and employment type.
JOIN US
The company’s identity is shaped by its inclusive culture, core values, and growth opportunities, but above all by its people. Candidates are invited to begin the next phase of their professional journey within this dynamic environment.
Please note
Interviews will begin on January 7, 2026.
Other
The hiring process emphasizes fairness and merit. Applicants are asked not to submit a cover letter to support equitable evaluation.
