71 applicants

Company

Nike · 1 day ago

Lead Machine Learning Engineer

Beaverton, Oregon

Full-time

Onsite

Senior Level, Lead/Staff

$119K/yr - $268K/yr

5+ years exp

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ApparelE-Commerce

H1B Sponsor Likely

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Responsibilities

Developing sophisticated analytics systems that directly impact our business.

Working on a cross-disciplinary team (DevOps/Data/Software Engineering) to enable data-driven decision-making across multiple projects.

Owning projects end-to-end, from conception to operationalization, demonstrating an understanding of the full software development lifecycle.

Providing technical vision and guidance to teammates.

Creating high-quality solutions that power Nike.

Designing and implementing scalable applications that leverage prediction models and optimization programs to deliver data-driven decisions with immense business impact.

Contributing to core advanced analytics and machine learning platforms and tools.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningSoftware DevelopmentPythonMLOpsTechnical LeadershipDeep LearningNatural Language ProcessingRecommender SystemsData StructuresAlgorithmsData ModelingSoftware ArchitecturesPyTorchSparkDockerJenkinsAirflowDatabricksCloud ArchitectureAmazon Web ServicesSQLETL PipelinesData WarehousingAgile DevelopmentTest-Driven DevelopmentGenerative AI

Required

Bachelor’s degree in computer science or a related field.

5+ years of professional experience in machine learning or a related field, with a strong foundation in software development and technical leadership.

Expert-level understanding of machine learning concepts, applications, and the lifecycle of an ML application in production, including the role of MLOps in the development lifecycle.

Proven track record of delivering high-impact machine learning solutions, with a strong focus on scalability, reliability, and maintainability.

Technical leadership skills, with experience in mentoring junior engineers and guiding technical decisions.

Proficiency in writing clean, maintainable, and scalable code in Python, with a strong emphasis on software engineering best practices.

Knowledge and hands-on experience with advanced machine learning techniques, such as deep learning, recommender systems & natural language processing.

In-depth knowledge of computer science fundamentals, including data structures, algorithms, data modeling, and software architectures.

Excellent communication skills, with the ability to effectively collaborate with team members, stakeholders, and communicate technical ideas through code, documentation, and presentations.

Experience with technologies such as PyTorch, Spark, Docker, Jenkins, Airflow, and Databricks, with a strong understanding of their applications and limitations.

Strong familiarity with MLOps and API development principles, with experience in designing and implementing scalable machine learning pipelines.

Experience with cloud architecture and technologies, particularly Amazon Web Services.

Preferred

Master’s degree in computer science or a related field.

Experience with leading machine learning teams and guiding technical strategy.

Experience with data engineering concepts, including data sets, ETL pipelines, SQL, and data warehousing.

Understanding of agile development methodologies and test-driven development paradigms, with experience in implementing these practices in a team setting.

Experience or interest in exploring the potential of Generative AI to accelerate development or deploying GenAI solutions in an enterprise setting.

Company

Nike

Glassdoor

4.1

Nike is a retail brand that provides the sale of apparel, footwear, sports equipment, and accessory products.

Founded in 1964

Beaverton, Oregon, USA

10001+ employees

http://www.nike.com

H1B Sponsorship

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Trends of Total Sponsorships

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2021 (506)

2020 (241)