Principal ML/AI Engineer at Nike

North Sydney, New South Wales, Australia

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

MediaIndustries

Requirements

Bachelor's degree in Computer Science, Software Engineering, or related field
8+ years in software engineering, with 4+ years in production machine learning systems, including technical leadership or people management
Expert-level Python programming for production systems, with demonstrated experience in designing and building LLM applications
Strong understanding and hands-on experience with generative AI technologies (RAG, vector databases, embedding models) and MLOps principles and tooling (e.g., Vertex AI, Kubeflow, MLflow)
Strong proficiency with cloud platforms (preferably GCP), containerization (Docker), and orchestration (Kubernetes)
(Desirable) Master's or PhD in a relevant technical field
(Desirable) Proficiency with AI frameworks (LangChain, LlamaIndex)
(Desirable) Experience with fine-tuning open-source LLMs
(Desirable) Familiarity with big data processing (Spark)
(Desirable) Prior media industry experience
(Desirable) Knowledge of multi-modal AI systems
(Desirable) Proficiency with Infrastructure as Code (Terraform)

Responsibilities

Lead the architectural design and implementation of robust, scalable MLOps pipelines
Drive the technical strategy and development of sophisticated AI agentic systems and Retrieval-Augmented Generation (RAG) pipelines
Guide the engineering approach for leveraging Large Language Models (LLMs) and other generative AI technologies to solve business problems
Manage, mentor, and lead a high-performing team of Machine Learning and AI Engineers
Own the operational integrity and performance of all production machine learning and AI systems, establishing best practices for CI/CD, automated testing, monitoring, and incident response
Architect and build the core cloud infrastructure (GCP) for large-scale model training, fine-tuning, and real-time inference
Champion a culture of automation, operational excellence, and continuous improvement, ensuring adherence to data privacy, governance, and security standards

Skills

MLOps

RAG

LLMs

Generative AI

Machine Learning

AI Pipelines

Data Science

Recommendation Systems

Personalisation

Forecasting

Agentic Workflows

Nike

Designs and sells athletic footwear and apparel

About Nike

Nike designs, manufactures, and sells a variety of footwear, apparel, equipment, and accessories aimed at athletes, fitness enthusiasts, and everyday consumers. Their products are created to be stylish and performance-oriented, catering to the needs of a diverse clientele. Nike operates through multiple sales channels, including retail stores, online platforms, and third-party retailers, and enhances its brand image through endorsements from well-known athletes and sports teams. A key aspect of Nike's approach is its membership program, which offers exclusive access to products and content, fostering a deeper connection with consumers. Unlike many competitors, Nike places a strong emphasis on sustainability and corporate responsibility, integrating these values into its operations and product development. The company's goal is to continue growing by creating products that resonate with consumers while promoting positive social and environmental impact.

Beaverton, OregonHeadquarters

1964Year Founded

IPOCompany Stage

Consumer Software, Social Impact, Consumer GoodsIndustries

10,001+Employees