AI Engineer at Nike

North Sydney, New South Wales, Australia

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Media, TechnologyIndustries

Requirements

Minimum of 3+ years of commercial experience in a Machine Learning Engineer, MLOps, or related software engineering role
Strong proficiency in Python and a solid understanding of software engineering principles, including data structures, algorithms, and object-oriented design
Hands-on experience with cloud platforms (preferably GCP or AWS) and MLOps tools/frameworks for model deployment, monitoring, and lifecycle management (e.g., Kubeflow, MLflow, Vertex AI)
Proficiency with containerization technologies (Docker, Kubernetes) and strong SQL skills with experience in large-scale data processing systems
Experience with big data technologies (BigQuery, Spark) and familiarity with ML libraries/frameworks (Scikit-learn, TensorFlow, PyTorch)
Proven experience in designing and building CI/CD pipelines for automated testing and deployment, along with a deep understanding of the full lifecycle of data science projects
Bachelor's degree in Computer Science, Engineering, or a related technical field is essential, with a Master's or PhD being desirable

Responsibilities

Building and managing scalable machine learning pipelines for various stages from training to deployment
Working with data scientists to move models from development to production environments
Developing and managing CI/CD and continuous training workflows for ML models
Implementing monitoring for production models and optimizing them for performance, scalability, and cost
Working with data and platform engineers to ensure data quality and build efficient data pipelines for AI/ML
Continuously learning and applying the latest industry best practices
Championing best practices within the data science team, including code quality and testing
Contributing to a collaborative culture through knowledge sharing and mentorship
Adhering to data privacy regulations and ethical standards for all machine learning systems

Skills

Machine Learning

Generative AI

ML Pipelines

CI/CD

MLOps

Model Deployment

Monitoring

Data Pipelines

Scalability Optimization

Python

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

Benefits

Health Insurance

Remote Work Options

Flexible Work Hours

Risks

Emerging sportswear brands increase competition through digital marketing and direct sales.

Rising raw material costs could impact Nike's profit margins.

Consumer backlash over labor practices could harm Nike's brand reputation.

Differentiation

Nike integrates electronics into footwear for active recovery, enhancing product innovation.

The company capitalizes on retro designs, appealing to nostalgic consumers.

Nike's strong brand loyalty is bolstered by high-profile athlete endorsements.

Upsides

Nike's partnership with Oaklands Wolves boosts brand visibility among younger demographics.

Significant investments indicate strong investor confidence in Nike's growth prospects.

Nike's recognition as a socially responsible stock appeals to environmentally conscious investors.

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