Open to remote work except in South Dakota, Vermont and West Virginia.
The annual base salary for this position ranges from $82,900.00 in our lowest geographic market to $185,700.00 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.
WHO ARE WE LOOKING FOR
As a Machine Learning Engineer within the Data & Artificial Intelligence (D&AI) organization, you will be developing sophisticated analytics systems that directly impact our business. You will get a chance to work on a cross-disciplinary team (DevOps/Data/Software Engineering) to enable data-driven decision-making across multiple projects.
WHAT WILL YOU WORK ON
Working at the intersection of machine learning and software engineering, you'll create high-quality solutions that power Nike. Our AI/ML team is a collaborative and academic environment that promotes intellectual curiosity, diversity, and a drive to deliver knowledge and software back to the analytics and engineering communities. We're a global organization with teammates in various time zones, working to solve machine learning problems at scale.
As a member of our team, you'll design and implement scalable applications that leverage prediction models and optimization programs to deliver data-driven decisions with immense business impact. You'll contribute to core advanced analytics and machine learning platforms and tools, and thrive in an environment where talented colleagues share knowledge and skills.
We value and nurture our culture by seeking to always be collaborative, curious, fun, open, and diverse. If you're passionate about learning, contributing to the analytics and engineering communities, and working in a dynamic environment, we'd love to hear from you.
WHO WILL YOU WORK WITH
In this role, you’ll be working closely with the rest of our global team, along with commercial and consumer analytics, and enterprise architecture teams.
WHAT YOU BRING
- 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.
Nice to Have:
- 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.
We are committed to fostering a diverse and inclusive environment for all employees and job applicants. 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.
Nike Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nike and has not been reviewed or approved by Nike.
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Retirement Support — A 401(k) with a company match is complemented by options such as a Mega Backdoor Roth and deferred compensation for eligible earners. Financial coaching and structured savings programs support long-term financial security.
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Equity Value & Accessibility — An Employee Stock Purchase Plan with a stock discount sits alongside broad-based equity vehicles like RSUs and non-qualified stock options. These avenues expand wealth-building opportunities beyond base pay.
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Parental & Family Support — Paid parental leave includes maternity and paternity time, recently expanded in the U.S. to 16 weeks and extended to part-time retail teammates. Additional supports include childcare assistance at select locations and family-building benefits such as fertility, surrogacy, and adoption.
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What We Do
At NIKE, Inc., we innovate to serve athletes*. Every teammate - from coder to creator - plays a role in making these athletes’ dreams real. Our tech, data, and digital teams push limits every day, building the future of sport and the tools that drive it. Here, curiosity is fuel. Innovation is the game plan. Different perspectives keep us on the offense. You’ll solve challenges worth tackling, grow fast and belong to a team that backs you to do the right thing. Bring your drive. Bring your bold. Let’s move the world, together. Take your first step at nike.com/careers * If you have a body, you’re an athlete.
Why Work With Us
At NIKE, Inc., your dedication fuels the future of sport. There is a sense of pride that comes from representing an iconic brand and shaping its future. Here, we treat every day as a new opportunity to push boundaries, ask tough questions and share whole-hearted convictions. We are a team – united by the belief that anything is possible.
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