NIKE, Inc. is looking to transform the customer service experience by developing, implementing, and optimizing Gen AI solutions.
Requirements
- Deep technical understanding of the latest generative AI applications like large language models (LLMs), large multimodal models (LMMs), image/video generation.
- Proven success implementing and scaling Gen AI systems
- Expertise in conversational AI systems with experience with relevant technologies like RAG, cloud platforms (AWS, Azure, GCP)
- Rock solid engineer and data scientist with demonstrated experience in in Machine Learning, AI or distributed systems development.
- Background in Machine Learning or a related field. Significant experience in machine learning algorithms, understanding natural language or unstructured data. Deep learning experience is a plus.
- You have experience implementing machine learning systems at scale in Java, Scala, Python or similar
- You have a strong mathematical background in statistics and machine learning
Responsibilities
- Develop software architecture and platform strategy for Gen AI applications
- Support investigation of new software packages/vendors, APIs, and algorithms to deliver quality analytics and Gen AI systems at scale.
- Ensure rigorous engineering processes.
- Collaborate with a cross functional agile team of software engineers, data engineers, ML experts, Gen AI experts and others to build new product features.
- Help drive optimization, testing, and tooling to improve data quality
- Iterate quickly on product quality through continuous A/B testing
- Inspire by building POCs and showing the art of the possible in AI
Other
- 8+ years of relevant work experience; 4+ years of people management experience
- Must have launched an AI application at global scale
- Engineering leader who can aggressively recruit top talent and build teams that deliver results.
- You care about agile software processes, data-driven development, reliability, and responsible experimentation
- Excellent communications skills and ability to coordinate internally and externally
