Lead Engineer, AI and ML Platform

at  Sephora

Job ID: 253941
Location Name: FSC REMOTE SF/NY/DC -173(USA_0173)
Address: FSC, Remote, CA 94105, United States (US)
Job Type: Full Time
Position Type: Regular
Job Function: Information Technology
Remote Eligible:Yes

YOUR ROLE AT SEPHORA:

This is an opportunity for a Machine Learning Engineer to come in and help with enabling ML platform for the enterprise. Sephora continues to inspire our loyal customers in beauty space and AI/ML is redefining the way we inspire our customers.

Some exciting initiatives in action:

• Generative AI use cases to help our customer discover products.
• Personalized in-session product recommendation engine (In store and Online)
• Customer Segmentation
• Next-Best offer prediction

As a Lead Machine Learning Engineer, ML platform you will operationalize innovative ML solutions and work alongside other team members like product manager, Enterprise architect, Principal ML Engineer, Data scientists and business to architect, design, build ML pipeline and productionalize ML models. You will be also responsible for integrating ML solutions to operational products. This hands-on technical role demands excellent ML engineering and MLops knowledge and can demonstrate best practices in the industry. Come be a part of a team that is starting this new journey.
We are looking for someone who is a technology-agnostic polymath—committed to a lifelong journey of learning and exploration of new scientific ideas—and will bring thoughtful perspectives, empathy, creativity, and a positive attitude to solve problems at scale. This role is ideal for someone looking to extend their machine learning and software engineering skills to lead ML engineering team and create impact by delivering ML capabilities at scale.

RESPONSIBILITIES:

• Responsible for leading and executing ML operationalization across enterprise.
• Architect, build, maintain, and improve end to end ML systems utilizing ML platform.
• Implement end-to-end solutions for batch and real-time algorithms along with tooling around monitoring, logging, automated testing, performance testing and A/B testing
• Utilize your entrepreneurial spirit to identify new opportunities to optimize business processes and improve consumer experiences, and prototype solutions to demonstrate value with a crawl, walk, run mindset.
• Collaborate with Product, Engineering , Data scientists and Business teams on planning new capabilities
• Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation
• Write efficient and well-organized software to ship products in an iterative, continual-release environment
• Actively participate in code review and test solutions to ensure it meets best practice specifications.
• Contribute to and promote good software engineering practices across the team
• Mentor and educate team members to adopt best practices in writing and maintaining production machine learning code
• Excellent communication skills, with the ability to explain complex technical concepts to technical and non-technical audiences
• Demonstrate our Sephora values of Passion for Client Service, Innovation, Expertise, Balance, Respect for All, Teamwork, and Initiative