
About Apple
The personal technology company redefining user experience
Key Highlights
- Market cap of $3 trillion as of 2022
- Over 1 billion active devices worldwide
- Comprehensive medical plans including mental healthcare
- Paid parental leave and gradual return-to-work program
Apple Inc. (NASDAQ: AAPL), headquartered in Cupertino, CA, is the world's most valuable company with a market capitalization of $3 trillion as of 2022. Known for its iconic products such as the iPhone, iPad, and Mac, Apple serves over 1 billion active devices globally. The company has a strong commi...
π Benefits
Apple offers comprehensive medical plans covering physical and mental healthcare, paid parental leave, and a gradual return-to-work program. Employees...
π Culture
Apple's culture emphasizes an obsessive focus on user experience and consumer privacy, setting it apart from competitors. The company promotes inclusi...
Skills & Technologies
Overview
Apple is hiring a Machine Learning Validation Automation Engineer to design and implement data collection and evaluation pipelines for ML systems. You'll work with Python and automation frameworks to ensure model accuracy and reliability in Cupertino, California.
Job Description
Who you are
You have a strong background in automation engineering with a focus on machine learning and computer vision β your experience includes designing and implementing validation pipelines that ensure the accuracy and reliability of ML models. You are proficient in Python and have a solid understanding of data analysis techniques, which you leverage to create effective automation frameworks. Your passion for technology drives you to continuously improve processes and innovate solutions that enhance user experiences. You thrive in collaborative environments, working closely with cross-functional teams to refine model pipelines and deliver high-quality products. You are detail-oriented and possess strong problem-solving skills, enabling you to tackle complex challenges in ML validation. You understand the importance of data visualization and are familiar with tools like Tableau and Splunk to analyze and present your findings effectively.
Desirable
Experience with large-scale machine learning systems and familiarity with cloud platforms would be a plus. Knowledge of additional programming languages or frameworks related to data processing and automation can further enhance your contributions to the team.
What you'll do
In this role, you will lead the design and implementation of data collection and evaluation pipelines for Appleβs machine learning systems. You will collaborate with algorithm development teams to build tools for analyzing and visualizing data, ensuring that the models meet the required accuracy and reliability standards. Your responsibilities will include developing and executing validation strategies, creating visualizations for comparing model validation results, and conducting experiments for engineering studies. You will take ownership of issues, driving them to resolution while continuously improving tests and processes. Your work will directly impact the quality of Appleβs next generation of products, contributing to the simple and intuitive user experience that Apple is known for. You will also have the opportunity to mentor junior engineers and share your expertise with the team, fostering a culture of learning and innovation.
What we offer
Apple provides a dynamic work environment where you can collaborate with a diverse group of talented engineers. You will have access to cutting-edge technology and resources to support your professional growth. The company values inclusion and diversity, ensuring that all employees feel valued and respected. You will be part of a team that is committed to delivering high-quality products that enhance the lives of customers around the world. Competitive compensation and benefits packages are offered, along with opportunities for career advancement within the organization.
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