Machine Learning Engineer - Strategic Data Solutions

Apple - Austin, TX

Full-time - Mid Level

Austin, TX

Computer and Electronic Product Manufacturing

About the position

As a Machine Learning Engineer within Strategic Data Solutions at Apple, you will be at the forefront of solving complex problems that have a direct and meaningful impact on the company. This role is designed for individuals who thrive in a collaborative environment and are eager to tackle tough business challenges. You will engage with various stakeholders to translate ambiguous business problems into technical solutions, identifying opportunities and breaking them down into manageable segments. Your work will involve defining requirements and assessing the level of effort needed to implement effective solutions. In this position, you will work closely with technical partners to design and implement data science-driven solutions that balance established techniques with innovative custom approaches. You will be responsible for creating robust real-time and batch decision-making processes in production, ensuring that operational and business metrics are maintained through effective reporting and monitoring of decision quality. Additionally, you will investigate trends and assess potential threats, responding with agile logic changes to mitigate risks. Your role will also require effective communication with stakeholders who have varying technical backgrounds and business priorities. You will share insights about novel technologies and methods in data science, machine learning, data engineering, and software engineering, contributing to the overall technical capabilities of your team. Apple is committed to providing you with challenging problems that will engage your curiosity, a culture that values collaboration and work-life balance, and mentorship to help you develop your technical and leadership skills.

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 overall technical capabilities.

Requirements

• Practical experience in deploying machine learning solutions to answer real-world questions.
• Experience with implementing data science-related applications in programming languages such as Python, Scala, or Java.
• 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.