
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...
🎁 Benefits
Apple offers comprehensive medical plans covering physical and mental healthcare, paid parental leave, and a gradual return-to-work program. Employees...
🌟 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 an Engineering Manager for their Machine Learning Systems Infrastructure team to build foundational computer vision and machine learning technologies. You'll work with skills in Machine Learning, Computer Vision, and Objective-C in Seattle.
Job Description
Who you are
You have a strong background in engineering management with a focus on machine learning systems — your experience includes leading teams to build infrastructure that supports product-focused machine learning projects. You are hands-on and enjoy diving into technical challenges while guiding your team to success.
Your expertise in computer vision and natural language processing allows you to understand the complexities of machine learning algorithms — you have a proven track record of managing projects that leverage these technologies to index large datasets effectively. You are familiar with Objective-C and have experience in building systems that integrate seamlessly with machine learning workflows.
You possess excellent communication skills, enabling you to collaborate effectively with cross-functional teams — you understand the importance of aligning engineering efforts with product goals and can articulate technical concepts to non-technical stakeholders. You are passionate about mentoring and developing your team members, fostering an environment of growth and innovation.
What you'll do
In this role, you will lead a team responsible for building the infrastructure necessary for machine learning projects — you will define and implement systems for analyzing failure modes of algorithms and benchmarking model comparisons. Your work will directly impact the development of essential features such as camera and handwriting recognition.
You will collaborate closely with machine learning scientists to ensure that the data ingestion processes are efficient and effective — your team will play a crucial role in making annotated and inferred data available for various machine learning applications. You will also oversee the development of tools that enhance the overall performance of machine learning models.
Your responsibilities will include managing project timelines, ensuring that your team meets deadlines while maintaining high-quality standards — you will conduct regular one-on-ones with team members to provide feedback and support their professional development. You will also be involved in strategic planning, helping to shape the direction of machine learning initiatives within the organization.
What we offer
Apple provides a dynamic work environment where innovation thrives — you will have the opportunity to work on cutting-edge technologies that have the potential to change the world. We offer competitive compensation and benefits, along with a culture that values diversity and inclusion. You will be part of a team that is dedicated to pushing the boundaries of what is possible in machine learning and computer vision.
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