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Apple AIML - Machine Learning Engineer Siri Information Intelligence United States, California, Cupertino 230112045
18.11.2024
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.• You will 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 to 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?
- You have 4+ years’ professional experience in data engineering and data pipelines.
- You have 4+ years’ professional experience in system design and architecture.
- You have 4+ years’ professional experience leading complex projects and teams of engineers.
- You have 4+ years of hands-on experience building reliable, scalable Data Pipelines with Python in a scalable cloud environment (AWS, etc).
- Familiarity with some of the following: Postgres, Presto, REST API development, Spark, cloud development, numpy, pandas, to name a few.
- 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.
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.
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.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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