Applied Machine Learning Engineer - Customer Feedback

Apple • Cupertino, CA

172d • $147,400 - $272,100

About The Position

Join the team responsible for Apple's Feedback and Beta Programs! Our tools and applications collect user feedback on beta software releases, helping to drive the direction and priorities of Apple's engineering teams. To make the best use of feedback we receive from customers and developers, we develop and maintain machine learning systems and automated analysis to cluster, annotate, and escalate the millions of reports we receive yearly. We are looking for experienced Machine Learning engineers to deploy and tune both traditional ML and generative AI models to enhance our systems' capability. There are tantalizing problems and products possible with our one-of-a-kind dataset, and plenty of opportunity for a passionate engineer.

Requirements

• Industry experience with applied machine learning.
• Industry experience in software engineering, data engineering, or similar.
• Strong fundamentals in problem solving, algorithm design, and model building.
• Excellent verbal and written communication and presentation skills.
• MS in Computer Science or related experience.

Nice To Haves

• Working knowledge of applied Natural Language Processing.
• Strong hands-on experience in building large scale ML based solutions or in building and scaling distributed systems.

Responsibilities

• Implement high-performance machine learning models and infrastructure in concert with software engineers, designers, and teams of internal users.
• Responsible for full stack ML development in partnership with others on the team.
• Data generation and curation, creating and influencing ML tooling and infrastructure.
• Drive evaluation efforts and train or fine-tune models.
• Integrate ML into internal tools and systems.
• Develop scalable, maintainable, and cost-effective solutions.

Benefits

• Comprehensive medical and dental coverage.
• Retirement benefits.
• Discounted products and free services.
• Reimbursement for certain educational expenses, including tuition.
• Discretionary bonuses or commission payments.
• Relocation assistance.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Master's degree