Sr. Machine Learning Architect - Apple Maps Data Team
Apple
Summary
Description
Minimum Qualifications
Key Qualifications
- Proficiency in applying AIML techniques (classical and deep-learning based) for data augmentation and refinement.
- Experience with pioneering techniques (including LLMs and foundation models) in solving both NLP and Vision-domain problems.
- Expertise in architecting sophisticated, multi-stage data pipelines to enable real-time and batch processing of data for user facing features.
- Hands-on experience in data-mining of large spatial and media data sets for training and tuning large scale ML models.
- Writing high-performance, production-oriented code using languages such as Scala, Java, and/or Python.
- Data engineering experience building consumer or enterprise scaled features which empower discovery, navigation, or other place or location-based solutions.
- Experience as a technical lead; demonstrating strong communication, collaboration, and project management skills.
- Willing to take responsibility and end-to-end ownership of features and drive key architectural decisions.
- Committed to encouraging an open and inclusive work environment
- Ability to communicate optimally, collaborate, and build long-term relationships across the organization.
- Ability and desire to mentor others in achieving engineering excellence and to be a catalyst on the team for adoption of ML approaches.
Preferred Qualifications
Education & Experience
Additional Requirements
Pay & Benefits
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