AIML – Sr Software Data Infrastructure Engineer – Data and ML Innovation Job ID- 926 Job ID- 3154

MaziCTools; United States; À distance; USD 176 000 - 312 000; Plein temps

Avantages offerts par ce poste

Stock options

Medical coverage

Relocation assistance

Résumé du poste

Apple in Cupertino, California, seeks a Data Infrastructure Engineer to design robust data processing frameworks for log data pipelines and a flexible data insights infrastructure.

You will work with Spark and Python/Scala, collaborating with Siri, Search, and ML teams to build scalable data platforms, ensuring data quality and enabling advances in big data processing on device and server.

Qualifications

• B.S. degree in Computer Science or Data Science.
• Experience with Spark and Python/Scala.
• Experience with cloud platforms AWS and GCP.

Responsabilités

• Design and implement robust data processing frameworks for large-scale datasets.
• Collaborate with Siri, Search and ML teams to build data insights platforms.
• Ensure data quality and system scalability for analytics and ML.

Connaissances

Spark

Python

Scala

Distributed computing

AWS

GCP

Machine learning data mining

Formation

B.S. in Computer Science or Data Science

MS or PhD in Computer Science

Description du poste

Cupertino, California, United States

Summary

Weekly Hours: 40

Do you get excited by driving impact via measurement and evaluation, for products and services used by hundreds of millions of people globally? The vision of AIML Data and ML Innovation organization is to improve products by using data as the voice of our customers. We are seeking a passionate and experienced Data Infrastructure Engineer to play a pivotal role in revolutionizing how we process and use substantial datasets as the heart of Siri, Search and Machine Learning. You will be instrumental in building a unified, groundbreaking data insights framework and data processing framework, powered by technologies such as Spark or Iceberg. You will collaborate closely with teams with varied strengths (i.e. Data Scientists and Analysts, other Engineering teams) to transform massive data into valuable, actionable datasets. You will also build metrics platform that fuel our innovative features and future machine learning area.

Description

As a Data Infrastructure Engineer, you will be at the forefront of designing and implementing a robust data processing framework to streamline log data pipelines, and a flexible data insights infrastructure, applying your expertise in Spark and Python. In this collaborative role, you'll partner closely with the Siri, Search, and other teams to design solutions that process data and build metrics platform, which drive innovation. Your work will focus on optimizing performance, ensuring data quality, and contributing to a long-term vision that extends the existing framework's capabilities to new user scenarios and innovative machine learning applications. We're looking for someone who thrives on tackling data challenges at scale and stays abreast of the latest advancements in big data processing on both device and server side.

Minimum Qualifications

• Demonstrated expertise in large-scale data processing, with a strong background of working with Spark and Python or Scala.
• Understanding of distributed computing principles, data engineering and DevOps standard processes.
• Proven programming skills in Python and Scala.
• A genuine passion for working with data and solving complex problems at scale, in cloud platforms (AWS, GCP).
• Experience with machine learning data mining.
• B.S.degree in Computer Science or Data Science.

Preferred Qualifications

• Metrics infrastructure experience, including metrics sharing, management, version control.
• PhD or MS in Computer Science.

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 for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

AIML - Sr Software Data Infrastructure Engineer - Data and ML Innovation Job ID- 926

AIML - Sr Software Data Infrastructure Engineer - Data and ML Innovation Job ID- 926 Job ID- 3154