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Apple Sr Machine Learning Architect - Apple Maps Data Team United States, California, Cupertino 791546394
01.06.2024
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Description
Our Places Data Team ingests, ranks, and conflates large geospatial data-sets containing places information, photos, reviews, and more. We augment this data using powerful machine-learning techniques at scale. We take innovative approaches to address unique problems, using our years of geospatial knowledge, systems expertise, and product development experience.- Be responsible for the design and architecture of the Places data pipeline to enable rapid integration of various LLM and computer vision based machine learning solutions.- Seek opportunities and develop scalable algorithms for efficient, automated data generation and data curation, minimizing the need for manual corrections.- Mentor and advise junior as well as other senior coworkers through their explorations, including giving guidance on when to try something new.
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.
Education & Experience
MS or PhD in computer science, mathematics, or related fields and 12+ years of experience.
Pay & Benefits
- At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $199,800 and $364,100, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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.
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