AIML - Sr. ML Data Operations Engineer
Apple
Software Engineering, Operations, Data Science
Cupertino, CA, USA
Posted on Oct 23, 2024
Summary
Posted:
Weekly Hours: 40
Role Number:200574566
Join Apple’s Body-sensing Intelligence Group (BIG) in the AIML organization! At Apple, we push the boundaries of innovation to create transformative products that impact billions of users worldwide. Our team is at the forefront of pioneering technologies that enhance multi-modal understanding of sensing hardware and machine learning (ML). We are looking for a passionate Operations Engineer to join our team. In this role, you will explore new operational methods, challenge existing metrics and protocols, and develop innovative practices to revolutionize data delivery and tackle real-world ML challenges. Your contributions will be crucial in enhancing the user experience of Apple products through advanced ML technologies.
Description
As an ML Ops Engineer at Apple, you will utilize our advanced tools and processes to deliver high-quality datasets for next-generation ML algorithms, creating exceptional user experiences. You will translate ML-driven experiences into clear, actionable processes that consider hardware, firmware, and software requirements. Your role will involve building data pipelines with an ML-first perspective, developing systems to monitor and ensure data quality, and scaling these systems effectively. Additionally, you will present your solutions to both technical and non-technical stakeholders. The solutions you develop will have a significant impact on future Apple products and the broader ML development ecosystem. Some other responsibilities include, but are not limited to: Partner with multidisciplinary teams, including researchers, engineers, designers, legal, and data experts, to lead innovative data collection projects with a focus on privacy Oversee the creation of intricate user studies that support both research aims and product objectives Innovate and implement new operational strategies and practices Evaluate and enhance existing metrics and protocols to boost data quality and efficiency Quickly adapt to new and emerging hardware and software technologies Play a key role in creating groundbreaking products that improve user experiences Manage multiple active projects involving both emerging and established technologies Thrive in a collaborative and dynamic setting with opportunities for growth
Minimum Qualifications
- Minimum Qualifications
- Holds a B.S./M.S. degree in Electrical Engineering, Bioengineering, Data Science, or a related discipline
- Possess over 5 years of experience in taking products from concept to large-scale production
- Skilled in rapid prototyping and familiar with Design of Experiments (DOEs)
- Excellent problem-solving abilities and a proactive mindset in addressing challenges
- Strong communication skills and experience collaborating with distributed cross-functional teams
- Strong organizational skills and a keen attention to detail
Key Qualifications
Preferred Qualifications
- Advanced degree (Ph.D./MBA)
- Deep passion for the intersection of HW+ML and pioneering innovative technologies
- Proficiency in Python and/or Swift programming languages
- Exceptional ability to prioritize tasks and thrive in fast-paced, dynamic environments
- Experience in crafting and delivering clear, audience-tailored communications
- Inquisitive mindset with a talent for simplifying complex concepts into actionable insights
Education & Experience
Additional Requirements
Pay & Benefits
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.