
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 Engineer to work on innovative AI and ML systems. You'll collaborate with researchers and engineers to develop advanced intelligent agent systems. This role requires expertise in machine learning and related technologies.
Job Description
Who you are
You have a strong background in machine learning, with experience in developing large-scale ML systems and a deep understanding of natural language processing and computer vision. You are skilled in reinforcement learning and have worked with large language models, enabling you to tackle complex challenges in AI. Your collaborative spirit allows you to work effectively with cross-functional teams, including researchers and engineers, to drive innovation in AI technologies.
You are passionate about exploring new methods and challenging existing protocols in the field of machine learning. Your analytical mindset helps you develop insightful practices that can transform how data is understood and utilized. You thrive in environments that encourage creativity and are eager to contribute to groundbreaking research initiatives that have a significant impact on users worldwide.
What you'll do
As a Machine Learning Engineer at Apple, you will play a pivotal role in shaping the next generation of intelligent agent systems. Your responsibilities will include designing and developing advanced LLM-based agents capable of reasoning, planning, and acting across multi-turn tasks and tool-use environments. You will collaborate closely with cross-functional teams to push the boundaries of agent modeling and reinforcement learning, ensuring that your work directly influences Appleβs foundation models and agentic intelligence capabilities.
You will be involved in spearheading research initiatives that address real-world ML challenges, working on some of the most ambitious technical problems in the field. Your role will require you to stay updated with the latest advancements in AI and machine learning, applying this knowledge to develop transformative products that enhance user experiences across Appleβs platforms. You will also have the opportunity to mentor junior team members, sharing your expertise and fostering a culture of learning and innovation within the team.
What we offer
Apple offers a dynamic work environment where you can collaborate with some of the brightest minds in the industry. You will have access to cutting-edge technology and resources to support your work in AI and machine learning. The company values diversity and inclusion, providing equal opportunities for all employees. You will be part of a team that is dedicated to making a significant impact on billions of users worldwide, contributing to products that are at the forefront of technology.
In addition to a competitive salary, Apple provides comprehensive benefits, including health insurance, retirement plans, and opportunities for professional development. You will have the chance to work on innovative projects that challenge you and help you grow in your career. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.
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