AI/ML Manager - San Francisco, United States - BayOne Solutions
Description
AI/ML Engineering Manager (FT)
Location: San Francisco, CA (2-3 days onsite in a week)
Duration: Full time
As Manager of Machine Learning engineering 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 build end to end ML systems and operationalize them 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 ML 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 machine learning and software engineering skills into a part mentor, part IC, part advisor role all while leading the ML engineering team.
Responsibilities
Responsible for managing and executing ML operationalization across enterprise.
Architect, build, maintain, and improve end to end ML 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 the Software engineering space.
1+ year of experience mentoring and managing Software / ML 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 working with Databricks.
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 with building and operationalize feature store.
Experience working with distributed systems, service oriented architectures and designing APIs/ API Graph.
Familiarity in deploying real-time ML systems on Azure Cloud through frameworks such as ONNX, MLEAP , TF Serving etc.
Familiarity with LLM, LLMOPs.
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
Relevant working experience with Kubernetes