Machine Learning Engineer - Strategic Data Solutions

Apple - Austin, TX

Full-time - Mid Level

Austin, TX

Computer and Electronic Product Manufacturing

About the position

The Machine Learning Engineer in Strategic Data Solutions at Apple is responsible for solving complex business problems through data-driven solutions. This role involves collaborating with various teams to design, build, deploy, and maintain operational solutions that enhance customer experience and mitigate risks. The position emphasizes a culture of learning, collaboration, and work-life balance, providing opportunities for mentorship and professional growth.

Responsibilities

• Engage with stakeholders to translate ambiguous business problems into technical solutions.
• Work cooperatively to design data science-driven solutions, balancing traditional techniques with custom solutions.
• Collaborate with technical partners to implement robust real-time and batch decisioning in production.
• Create reporting and monitor decisioning quality to maintain operational and business metric health.
• Investigate trends, assess threat impact, and respond with agile logic changes.
• Communicate with stakeholders with varying technical backgrounds about work and learning in novel technologies.

Requirements

• Graduate degree with research/work experience utilizing data science techniques or Bachelor's degree with equivalent experience.
• Practical experience in 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.

Nice-to-haves

• Theoretical understanding of machine learning algorithms and their strengths and weaknesses.
• Ability to use SQL to extract insights from data.
• Demonstrated ability to think holistically about system structures and interactions.
• Effective communication skills to translate complex concepts into business-focused solutions.
• Team-oriented skills to facilitate collaboration with business and technical partners.

Benefits

• Mentorship opportunities for technical and leadership skills development.
• Supportive team environment that values collaboration and problem-solving.
• Work-life balance initiatives.