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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...
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Apple offers comprehensive medical plans covering physical and mental healthcare, paid parental leave, and a gradual return-to-work program. Employees...
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Apple's culture emphasizes an obsessive focus on user experience and consumer privacy, setting it apart from competitors. The company promotes inclusi...

Machine Learning Engineer • Mid-Level
Apple • California - On-Site
Skills & Technologies
Overview
Apple is hiring a Machine Learning Enablement Engineer for the Siri Core Modeling team to enhance tooling and infrastructure. You'll work with Rust, TypeScript, and Python to solve complex problems and improve model performance.
Job Description
Who you are
You are a versatile Machine Learning Enablement Engineer with a strong proficiency in Rust, TypeScript, and Python. Your experience allows you to tackle a variety of challenges, from building data visualizations to optimizing software components for performance. You have a proven track record of shipping products quickly and efficiently, demonstrating your ability to adapt to the fast-paced environment at Apple. Your background includes experience with real-time programming and hardware-aware performance engineering, which equips you to handle the demands of on-device applications. You are comfortable designing data pipelines and user interfaces, showcasing your broad skill set in both backend and frontend development. You thrive in collaborative settings, working closely with engineers to enhance the performance of machine learning models and contribute to the overall success of the team.
Desirable
You have experience as a founding engineer or intern at an early-stage startup, where you successfully shipped a product. Your familiarity with large language models (LLMs) and their application in real-world scenarios is a plus. You possess strong system design skills and have worked with graphics or compilers, further enhancing your ability to contribute to complex projects.
What you'll do
In this role, you will join the Siri Agent Modeling - Tooling & Operations team, where your primary responsibility will be to enhance the tooling and infrastructure that supports the organization. You will engage in various tasks, including building polished data visualizations that help engineers track model performance and conducting low-level performance engineering to ensure software components meet latency and memory requirements. You will design and implement data pipelines that can scale to meet the demands of Siri, ensuring that the infrastructure is robust and efficient. Your work will involve collaborating with cross-functional teams to identify and solve complex problems, leveraging your technical expertise to drive improvements in model performance. You will also have the opportunity to mentor junior engineers, sharing your knowledge and experience to help them grow in their roles. Your contributions will directly impact the quality and efficiency of the Siri experience, making a significant difference in how users interact with Apple's technology.
What we offer
Apple offers a dynamic work environment where innovation is at the forefront. You will have the chance to work on cutting-edge technology that shapes the future of user interaction. The company values diversity and inclusion, fostering a culture where all employees can thrive. You will be part of a team that encourages collaboration and creativity, allowing you to explore new ideas and approaches. Apple provides competitive compensation and benefits, ensuring that you are rewarded for your contributions. You will also have access to professional development opportunities, enabling you to continue growing your skills and advancing your career within the organization.
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