Werde Teil des Teams von NIKE, Inc. Team
NIKE, Inc. stattet nicht nur die besten Athleten der Welt aus. Wir erkunden neue Möglichkeiten, finden Wege und überwinden die Grenzen des Machbaren. Unser Unternehmen sucht nach Menschen, die wachsen, denken, träumen und gestalten möchten. Unsere Unternehmenskultur schätzt Vielfalt und belohnt Einfallsreichtum. Unsere Marke sucht Menschen, die ihre Ziele erreichen, Führungsfähigkeiten haben und den Blick in die Zukunft richten. Bei NIKE, Inc. bringen alle Mitarbeiterinnen und Mitarbeiter ihre Fähigkeiten ein und nehmen immer neue Herausforderungen mit Leidenschaft an.
Open to remote work except in South Dakota, Vermont and West Virginia.
The annual base salary for this position ranges from $149,100.00 in our lowest geographic market to $313,900.00 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.
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.
WHO WE ARE LOOKING FOR
We are looking for a seasoned Engineering leader who can lead and grow teams of machine learning engineers, data scientists, and software architects to develop, implement and optimize Gen AI solutions to transform the customer service experience. You will lead the Gen AI strategy for customer support, overseeing entire lifecycle of AI agents and tools, from ideation, development to deployment and ongoing performance improvement. You will foster partnerships with best of breed open-source communities, commercial vendors, and universities. Above all, your work will accelerate Nike's core mission of serving Athletes*.
WHAT YOU WILL WORK ON
Inspire by building POCs and showing the art of the possible in AI
Develop software architecture and platform strategy for Gen AI applications
Recruit, hire, and mentor exceptional data scientists and machine learning engineers, software engineers
Work with product management, development/engineering, platform development, architecture, operations, and other internal stakeholders to define requirements, guide product and architectural vision, and prioritize efforts. Help translate customer requirements into stories to support agile development and accurate roadmaps.
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
WHO YOU WILL WORK WITH
You will be directly managing a team of software engineers/ML engineers/data scientists. You will be partnering cross-functionally with product management, program, domain engineering, data, platform engineering, infrastructure, security teams to build Gen AI solution at scale and technical backlog for your development teams.
WHAT YOU BRING
Bachelor’s Degree in computer science, software engineering, or related field. Masters or Ph.D. preferred. Will accept any suitable combination of education, experience and training.
8+ years of relevant work experience; 4+ years of people management experience
Must have launched an AI application at global scale
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)
Engineering leader who can aggressively recruit top talent and build teams that deliver results.
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
You care about agile software processes, data-driven development, reliability, and responsible experimentation
You preferably have machine learning publications, project code, or work on open source to share with us
Excellent communications skills and ability to coordinate internally and externally
NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.
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.
UNSER REKRUTIERUNGSPLAN
01 Bewerben
Unsere Teams leben von einer Vielfalt an Kompetenzen, Fähigkeiten, Denkweisen, Ideen und Erfahrungen. Wir möchten, dass du die für dich richtige Stelle findest. Sieh dir Stellenbeschreibungen, Abteilungen und Teams an und finde heraus, welche Rolle zu dir passt.
02 Recruiter:in treffen oder an Beurteilung teilnehmen
Wenn du für eine Stelle im Unternehmen ausgewählt wirst, setzt sich ein:e Recruiter:in mit dir in Verbindung, um das Vorstellungsgespräch einzuleiten und dir während des gesamten Prozesses als Hauptansprechpartner:in zur Seite zu stehen. Bei Stellen im Retail-Bereich nimmst du an einer interaktiven Beurteilung teil, die ein Gespräch und Quizfragen umfasst und etwa 10 bis 20 Minuten dauert. Egal, welche Rolle du anstrebst, wir möchten dich als ganze Person kennenlernen. Zögere also nicht, uns zu zeigen, was erstklassiger Service für dich bedeutet und was dich einzigartig macht.
03 Vorstellungsgespräch
Bereite dich gut auf diese Phase vor, indem du recherchierst, dich über unsere Anforderungen informierst und dich auf Fragen zu deiner Person und deinen Erfahrungen einstellst.
