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Senior Machine Learning Operations Engineer
2 months ago
We are seeking a highly skilled Operations Engineer to join our team at Apple's Body-sensing Intelligence Group (BIG) in the AIML organization. As an ML Ops Engineer, you will play a critical role in delivering high-quality datasets for next-generation ML algorithms, creating exceptional user experiences.
Key Responsibilities- Develop innovative data pipelines with an ML-first perspective, ensuring data quality and scalability.
- Partner with multidisciplinary teams to lead data collection projects, focusing on privacy and data quality.
- Oversee the creation of user studies that support research aims and product objectives.
- Innovate and implement new operational strategies and practices to boost data quality and efficiency.
- Evaluate and enhance existing metrics and protocols to improve data delivery.
- Bachelor's or Master's degree in Electrical Engineering, Bioengineering, Data Science, or a related field.
- Over 5 years of experience in taking products from concept to large-scale production.
- Strong problem-solving abilities, proactive mindset, and excellent communication skills.
- Experience collaborating with distributed cross-functional teams and prioritizing tasks in fast-paced environments.
At Apple, we offer a comprehensive compensation package, including base pay, discretionary bonuses, and commission payments. You will also receive benefits such as comprehensive medical and dental coverage, retirement benefits, and reimbursement for certain educational expenses.
Apple is an equal opportunity employer 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.
