Engineering Manager
2 months ago
As Sr Manager of Machine Learning and Data Science team, you will work on a broad set of domains that power a data-driven transformation of our standard business procedures across channels. You will develop and deploy Client algorithms along with optimizing existing machine learning systems to maximize their value and increase consumer satisfaction at every brand touchpoint. You will also get the invaluable opportunity to mentor a team of diverse and entrepreneurial Data and Client engineers and shape their career trajectory through your expertise.
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 algorithm design and software engineering skills into a part mentor, part IC, part advisor role all while leading the data science and Client team
Responsibilities
Responsible for managing and executing Client model development and operationalization across enterprise.
Architect, build, maintain, and improve new and existing suite of algorithms and their underlying systems.
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 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
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
We are excited about you if you have:
University or advanced degree in engineering, computer science, mathematics, or a related field
3+ years experience developing and deploying machine learning systems into production
5+ years of experience in Software engineering space.
1+ year of experience mentoring and managing Core Engineering/ Data Science/ Client engineers.
Experience working with a variety of relational SQL and NoSQL databases
Experience working with: Hadoop, Spark, Kafka, Scala, Python, R etc.
Experience with at least one cloud provider solution ( Azure, GCP)
Experience with CNN training and deep learning frameworks such as PyTorch, Tensorflow, Keras or similar
Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
Industry experience building and productionizing creative end-to-end Machine Learning systems
Experience working with distributed systems, service oriented architectures and designing APIs/ API Graph.
Familiarity in deploying real-time Client systems on Azure Cloud through frameworks such as ONNX, MLEAP , TF Serving etc.
Knowledge of data pipeline and workflow management tools
Expertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, code reviews, design documentation
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