AIML - Machine Learning Engineer, Siri and Information Intelligence
2 months ago
AIML - Machine Learning Engineer, Siri and Information Intelligence
Cupertino, California, United States
Machine Learning and AI
The Siri Attention and Invocation Data team is in search of a curious and innovative team player who is passionate about building and innovating our data strategy. Our team is responsible for all aspects of generating datasets to improve and innovate our user experiences. Join Apple and help us leave the world better than we found it
Description
You will be a core contributor on the development of our data pipeline and management systems, as well as spearheading innovative approaches to improving different aspects of our data. Your responsibilities will include:
- Working closely with other teams to understand their needs and propose ways to address them, translating them into data products, workflows, and services.
- Architect solutions for taking our pipelines, workflows, and data management and exploration to the next level.
- Play an active role in the future roadmap of our data strategy, by designing and implementing the next generation to improve data quality, cost-effectiveness, monitoring, traceability, and introspection.
- Collect requirements and engage stakeholders from different teams, and bring into production complex cross-functional projects.
Minimum Qualifications
- Strong software engineering skills, including being fluent in Python.
- Attention to detail and creative problem-solving: Do you dig into the data to troubleshoot a problem?
- 4+ years’ professional experience in data engineering and data pipelines.
- 4+ years’ professional experience in system design and architecture.
- 4+ years’ professional experience leading complex projects and teams of engineers.
- 4+ years of hands-on experience building reliable, scalable Data Pipelines with Python in a scalable cloud environment (AWS, etc).
- Familiarity with Postgres, Presto, REST API development, Spark, cloud development, numpy, pandas, etc.
- Strong technical communication (both written and verbal), prioritization, and time management skills. Strong interpersonal skills to work both with your team and others.
- Familiarity with Machine learning dataset development lifecycle.
- Bachelor's Degree in Computer Science, an engineering-related field, or equivalent related experience.
Key Qualifications
Preferred Qualifications
- Experience with data quality assessment and monitoring a plus.
- Experience with human annotation / labeling a plus.
- Experience with speech domain machine learning a plus.
Education & Experience
Additional Requirements
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 $175,800 and $312,200, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and reimbursement for certain educational expenses — including tuition.
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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