Data Solutions Software Engineer — ML & Analytics at Scale

Apple Inc.; Austin (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

Apple Inc. in Austin, Texas is seeking software engineers, data scientists, and ML engineers for the Applied Data Solutions Program (ADSP). The role involves building data pipelines, scalable architectures, and data products to enable rapid BI and analytics.

You will rotate across teams within Finance and move into non-rotating technical roles after completion. Ideal candidates have degrees in CS/DS/ML, proficiency in Python/Scala/Java, and experience deploying ML solutions.

Qualifications

• Undergraduate or graduate degree in Computer Science, Data Science, Data Analytics, Machine Learning or related field.
• Proficient in at least one programming language (Python/Scala/Java preferred).
• Practical experience deploying machine learning solutions to answer real-world questions.
• Practical experience with implementing data science-related applications in a programming language such as Python, Scala, or Java.
• Effective communication skills to translate complex concepts and analysis into concise, business-focused solutions.
• Previous Apple FDP or ADSP internship is required.

Responsibilities

• Build sophisticated, scalable architectures, tools, data products, and data pipelines for rapid BI, data analysis, and data science.
• Work with teams across Apple to define, build, deploy, and maintain end-to-end operational data solutions.
• Develop self-service tools and automation to improve data engineering efficiency and self-service analytics.
• Create reporting and monitor decisioning quality to maintain metric health.
• Translate ambiguous business problems into technical solutions with stakeholders.

Skills

Python/Scala/Java

Effective communication

ML deployment experience

Education

CS/DS/ML degree

Tools

Dataiku

Ray

Job description

Apple Inc. in Austin, Texas is seeking software engineers, data scientists, and ML engineers for the Applied Data Solutions Program (ADSP). The role involves building data pipelines, scalable architectures, and data products to enable rapid BI and analytics.

You will rotate across teams within Finance and move into non-rotating technical roles after completion. Ideal candidates have degrees in CS/DS/ML, proficiency in Python/Scala/Java, and experience deploying ML solutions.