Be an early applicantLess than 25 applicants

Company

Nike · 1 day ago

Machine Learning Engineer I

Beaverton, Oregon

Full-time

Onsite

Entry Level

$83K/yr - $186K/yr

1+ 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.

Create high-quality solutions that power Nike.

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

Contribute 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 LearningPythonMLOpsCloud ArchitectureData EngineeringAWSDeep LearningRecommender SystemsNatural Language Processing (NLP)ETL PipelinesSQLData WarehousingAgile DevelopmentTest-Driven DevelopmentPyTorchSparkDockerJenkinsAirflowDatabricksData StructuresAlgorithmsSoftware Architectures

Required

Bachelor’s degree in computer science or a related field, or equivalent combination of education and experience.

1-3 years of professional experience in machine learning or a related field, with a strong foundation in software development.

In-depth 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 analytical and problem-solving skills, with the ability to break down complex problems into manageable components.

Proficiency in writing clean, maintainable, and scalable code in Python.

Solid grasp 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 and stakeholders, and communicate technical ideas through code and documentation.

Experience with technologies such as PyTorch, Spark, Docker, Jenkins, Airflow, and Databricks.

Familiarity with MLOps and API development principles.

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

Preferred

Knowledge or hands-on experience with deep learning, recommender systems, NLP and their applications.

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

Understanding of agile development methodologies and test-driven development paradigms.

Interest in exploring the potential of Generative AI to accelerate development and data science tasks or deploying Generative AI 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

2023 (206)

2022 (496)

2021 (506)

2020 (241)