Become a Part of the NIKE, Inc. Team
NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game.
Open to remote work except in South Dakota, Vermont and West Virginia.
The annual base salary for this position ranges from $199,200.00 in our lowest geographic market to $471,100.00 in our highest geographic market. Actual salary will vary based on a candidate's location, qualifications, skills and experience.Information about benefits can be found here.
WHO WE ARE LOOKING FOR
We are seeking a visionary leader to spearhead CPI’s Advanced Machine Learning initiatives, aimed at revolutionizing Nike’s product creation lifecycle—from ideation through to supply chain. This role requires a deep learning expert who is well-versed in generative AI advancements and capable of guiding cutting-edge research in these domains. This leader will build and develop the team, shape the science philosophy, plan, and strategize, as we explore domains such as Large Language Models (LLMs), diffusion models, reinforcement learning (RL) and simulation to support new experiences for our designers and developers.
WHAT YOU WILL WORK ON
Design Acceleration: Al generated - Image and video generation, text and content creation to augment and enhance designer experience
ML Optimization: Adding LLM's to the existing data models to enhance accuracy of off the shelf GenAl solutions customized to Nike's data set and business needs.
WHO YOU WILL WORK WITH
This role reports to the VP of Consumer Product and Innovation and will work closely with Product creation, Merch, Design, Innovation teams, and key partners across Footwear, Apparel, Ops, Merch and Geos.
WHAT YOU BRING
Bachelor’s Degree in computer science, statistics, mathematics, software engineering, or related field (Master's or Ph.D. preferred).
Experienced leader of leaders, with 10 years of experience leading multiple science and engineering teams.
At least 15 years of experience in building and applying ML models to solve complex, large-scale problems.
Has a strong understanding of foundational models including large language models across multiple modalities, reinforcement learning, supervised learning, and other cutting-edge techniques in generative Al.
Proven track record of leading seasoned scientists and developing junior talent.
Proficient in one or more programming languages with strong technical skills.
Exceptional verbal and written communication skills, capable of advocating technical solutions to both technical and business audiences.
Publications in top-tier conferences or journals.
We are committed to fostering a diverse and inclusive environment for all employees and job applicants. We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.
OUR HIRING GAME PLAN
01 Apply
Our teams are made up of diverse skillsets, knowledge bases, inputs, ideas and backgrounds. We want you to find your fit – review job descriptions, departments and teams to discover the role for you.
02 Meet a Recruiter or Take an Assessment
If selected for a corporate role, a recruiter will reach out to start your interview process and be your main contact throughout the process. For retail roles, you’ll complete an interactive assessment that includes a chat and quizzes and takes about 10-20 minutes to complete. No matter the role, we want to learn about you – the whole you – so don’t shy away from how you approach world-class service and what makes you unique.
03 Interview
Go into this stage confident by doing your research, understanding what we are looking for and being prepared for questions that are set up to learn more about you, and your background.
