AIML - Senior Engineering Lead, ML Systems Evaluation Engineering (apple)
apple Cupertino, United States
2024-10-27
Job posting number: #153522 (Ref:apl-200572316)
Job Description
Summary
Do you want to play a part in building groundbreaking technology for large-scale systems, natural language, big data, and artificial intelligence? Join the AIML team at Apple and help us improve the user experience of Siri and other AIML products, helping millions of people get things done across the globe!
View Orignal JOB on: italents.net
Description
In this senior leadership role, you will be pivotal in aligning ML Systems Evaluation Engineering team priorities and methodologies and ensuring the optimal execution of evaluation and testing for AIML products and components. Our goal is to deliver offline automated evaluation insights that drive models, product development, and improvements while upholding the privacy standards that Apple is known for. With the advent of Apple Intelligence, we are facing novel challenges in developing representative datasets and simulations for delivering highly personalized user experiences. You will provide strategic oversight, be a key liaison for our partners, and optimize team performance while driving a culture of innovation and improvement. You will also have oversight and communications for release qualification readiness for all client milestones to ensure we maintain high-quality standards while fostering accountability and transparency.
As the senior team leader, you will cultivate collaboration with your peers and partners across AIML and Apple. Your leadership will be instrumental in fostering a culture of continuous improvement and taking state-of-the-art evaluation solutions to Apple partners while learning from them.
As the senior team leader, you will cultivate collaboration with your peers and partners across AIML and Apple. Your leadership will be instrumental in fostering a culture of continuous improvement and taking state-of-the-art evaluation solutions to Apple partners while learning from them.
Minimum Qualifications
- Minimum of 8+ years of experience in engineering leadership roles
- Proven and consistent track record of forming senior partnerships to solve complex technical problems at scale
- MS in Machine Learning, Computer Science, or a related field.
Key Qualifications
Preferred Qualifications
- Passion for product and customer experience
- Data-driven mindset
- Shown aptitude for leading a breadth of product areas simultaneously
- Strong understanding of AI/ML concepts and familiarity with AI testing methodologies, data validation, and model performance metrics
- Experience with cloud-based infrastructure and tools (like Jenkins, AWS) and continuous integration pipelines
- Strong interpersonal and leadership skills with experience managing cross-functional teams.
- Ability to build strong relationships, influence decision-making, and drive projects in a fast-paced environment.
- Experience with SVP-level presentations and reporting
