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.
招募策略
01 申請
我們的團隊由多元技能、知識庫、意見、想法和背景組成。 我們希望你找到合適的職位：查看職務說明、部門和團隊，探索適合你的角色。
02 與招募人員會面或進行評估
若獲選擔任公司職務，招募人員會與你聯絡，以展開面試流程，並在整個流程中擔任你的主要聯絡人。 若為 Retail 職務，你將完成包含對談和測驗的互動式評估，完成評估約需 10 至 20 分鐘的時間。 無論是哪個角色，我們都想瞭解你的各種面向，因此請不要避談你如何提供世界級的服務，以及你的與眾不同之處。
03 面試
在進入這個階段時，可先做好研究，瞭解我們在尋找的人才，並為深入瞭解你及相關背景而設定的問題做好準備，自信應對。
