
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 AI Engineer to design, develop, and deploy large scale services and platforms focused on speech technologies. You'll apply machine learning and deep learning techniques in Cupertino. This position requires a strong background in speech and language processing.
Job Description
Who you are
You have a strong machine learning background in the speech and language processing field — your expertise allows you to tackle complex challenges in speech recognition and dialogue management. You possess in-depth hands-on experience in deep learning, which enables you to create innovative solutions that enhance user experiences. Your software engineering abilities are robust, ideally with proficiency in C++, Java, and Python, allowing you to build efficient and scalable systems. You are passionate about building research demo prototypes and turning them into production-quality designs and implementations, showcasing your commitment to excellence in your work.
You thrive in collaborative environments and are eager to communicate and work with multiple teams across Apple. Your creativity and enthusiasm drive you to improve speech technologies, and you are always looking for ways to apply your skills in practical settings. You understand the importance of teamwork and are ready to contribute to the development of intelligent applications that leverage cutting-edge technology.
What you'll do
In this role, you will design, develop, and deploy large-scale services and platforms that enhance Apple's speech technologies. You will apply machine learning and deep learning techniques to improve various aspects of speech recognition, natural language processing, and dialogue management. Collaborating with cross-functional teams, you will work on projects that push the boundaries of what is possible in intelligent applications. Your responsibilities will include building prototypes, conducting experiments, and refining algorithms to ensure high performance and reliability in production environments.
You will also engage in hands-on work, allowing you to stay connected to the technical aspects of the projects while contributing to the overall vision of Apple's innovative products. Your role will involve continuous learning and adaptation as you explore new techniques and technologies in the rapidly evolving field of AI and machine learning. You will have the opportunity to influence the direction of projects and contribute to the development of features that enhance user experiences across Apple's ecosystem.
What we offer
Apple provides a dynamic work environment where your ideas can flourish and turn into impactful products. You will be part of a team that values creativity and innovation, and you will have access to the latest tools and technologies to support your work. The company is committed to fostering a culture of inclusion and diversity, ensuring that all employees feel valued and empowered to contribute their unique perspectives. You will have opportunities for professional growth and development, allowing you to advance your career while making a meaningful impact in the field of AI and machine learning.
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