Machine Learning Engineer

at  Apple

SUMMARY

Posted: Jun 14, 2024
Weekly Hours: 40
Role Number:200555483
Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish. Are you an enthusiastic Machine Learning Engineer eager to apply your expertise in a fast-paced, innovative tech environment? Join our Global Sourcing & Supply Management (GSSM) Solutions team as a key player in revolutionizing our supply chain.

DESCRIPTION

As a Machine Learning Engineer on our core AIML team, you will be at the forefront of designing and developing cutting-edge AIML models and GenAI applications. You will be working closely with business stakeholders, data engineers, and IT groups closely and take an active role in effectively communicating the recommendations to senior management. Your work will empower strategic and tactical decision-making processes within our supply chain, driving us towards greater efficiency and success. If you thrive in a collaborative environment, are passionate about leveraging AIML to solve complex business problems, and are excited about the opportunity to make a significant impact in a dynamic tech industry, we want to hear from you! Key Responsibilities: - Engage deeply with business teams to identify opportunities and translate the needs into innovative and practical AIML solutions - Design, build, and deploy state of the art AIML models to solve complex business problems - Understand key performance levers and metrics to highlight AIML solution operational issues and drive improvement - Foster close collaboration with engineers and infrastructure partners to implement robust and scalable solutions - Communicate the results and insights effectively to partners and senior leaders, providing clear and actionable recommendations - Stay updated with the latest trends, technologies, and best practices in AIML, GenAI and data engineering. Regularly research and present new ideas to improve the team’s technical capabilities

• 5+ years of industry experience with a MS/PhD in Computer Science, Statistics, Applied Math, or a related field.

PREFERRED QUALIFICATIONS

• Expert in AIML modeling, Python, AIML Infrastructure, model deployment and MLOps
• Experience working in Supply Chain, Operations, or a related field
• End to end GenAI application experience
• Knowledge in RAG, Prompt Engineering, LoRA and other GenAI techniques
• Ability to operate independently and lead without authority
• Superb communication and interpersonal skills

• 5+ years of industry experience with a MS/PhD in Computer Science, Statistics, Applied Math, or a related field