Apple SkillBridge Fellowship Program

Apple’s SkillBridge Fellowship Program offers transitioning service members a unique opportunity to immerse themselves in a dynamic, corporate environment during their final six months of military service. Through this full-time fellowship, participants gain exposure to the rhythm and culture at Apple, while building professional relationships, refining their civilian workplace skills, and contributing to impactful projects in a supportive setting.Fellows are embedded within teams and given access to training and networking opportunities designed to help them navigate the transition from military to civilian careers with confidence. The program is structured to offer a meaningful, real-world experience that complements their military background and prepares them for future career success in the private sector.

ABOUT THE JOB

Job title: Data Scientist (LB3)Job description: Research and develop evaluation methods to improve the quality of multiple machine learning systems. Work with evaluation/experimentation engineering teams to get your methodological developments translated into technologies that engineering will use every day. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing work, and presentations. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive knowledge of our data structures and metrics, advocating for changes where needed for product development.  Partner closely with our engineering teams on core machine learning algorithms and systems. You should be passionate about building outstanding products. This position involves a wide variety of skills and innovation.Minimum Qualifications • Experience in data science, machine learning, and analytics, including statistical data analysis and A/B testing. • Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data. • Strong programming skills, including data-querying skills (SQL and/or Spark, etc.) and experience with a scripting language for data processing and development (e.g., Python, R, or Scala).Preferred Qualifications • Hands-on experience with online AB testing platform. Experience designing, analyzing and interpreting experiments. • Hands-on experience with on-device logging and metrics development. • Experience with large language models, leveraging LLM for evaluation and product improvement.

RESPONSIBILITIES

• Research and develop evaluation methods to improve the quality of multiple machine learning systems.
• Work with evaluation/experimentation engineering teams to get methodological developments translated into technologies that engineering will use every day.
• Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.
• Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing work, and presentations.
• Build and prototype analysis pipelines iteratively to provide insights at scale.

QUALIFICATIONS

• Experience in data science, machine learning, and analytics, including statistical data analysis and A/B testing.
• Strong programming skills, including data-querying skills (SQL and/or Spark, etc.) and experience with a scripting language for data processing and development (e.g., Python, R, or Scala).
• Hands-on experience with online AB testing platform.
• Hands-on experience with on-device logging and metrics development.
• Experience with large language models, leveraging LLM for evaluation and product improvement.

ADDITIONAL ELIGIBILITY

All opportunities have an on site, in office requirement. Location for this Fellowship program is listed in the Job Description.

BENEFITS

• Exposure to the rhythm and culture at Apple
• Building professional relationships
• Refining civilian workplace skills
• Contributing to impactful projects
• Access to training and networking opportunities

OTHER

All opportunities have an on site, in office requirement. Location for this Fellowship program is listed in the Job Description.