Machine Learning Engineer - Strategic Data Solutions

Apple - Austin, TX

Full-time - Entry Level

Austin, TX

Computer and Electronic Product Manufacturing

About the position

As a Machine Learning Engineer in Strategic Data Solutions at Apple, you will tackle complex business problems by leveraging data analysis and predictive modeling techniques. Your role will involve collaborating with various teams to design and implement data-driven solutions that enhance operational efficiency and customer experience. This 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 and business priorities about your work.
• Share insights about novel technologies and methods to improve the team's technical capabilities.

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 relative strengths and weaknesses.
• Ability to use a querying language such as SQL to extract insights from data.
• Demonstrate ability to think holistically about system structures and interactions to anticipate technical, business, and customer impact.
• Effective communication skills to translate complex concepts and analysis into concise, business-focused solutions.
• Team-oriented skills and values to facilitate effective collaboration with business and technical partners.

Benefits

• Mentorship opportunities for technical and leadership skill development.
• Organizational culture that values collaboration and problem-solving.
• Work-life balance initiatives.