Apple

About Apple

The personal technology company redefining user experience

🏢 Tech, Hardware👥 1001+ employees📅 Founded 1976📍 Cupertino, CA4.2
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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...

🎁 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...

Overview

Apple is hiring a Senior Machine Learning Engineer to enhance Siri's capabilities in understanding and ranking local information. You'll work with machine learning techniques and large language models to improve user experience. This role requires significant experience in search and recommendation systems.

Job Description

Who you are

You have 5+ years of experience in machine learning, particularly in search and recommendation systems — you've successfully deployed machine learning models at scale and understand the intricacies of working with large datasets. Your expertise in Natural Language Processing (NLP) allows you to effectively interpret user queries and improve the relevance of search results.

You are proficient in Python and have hands-on experience with frameworks like TensorFlow and Keras — you enjoy experimenting with innovative machine learning techniques and are always looking for ways to enhance model performance. Your background in applied science or mathematics equips you with the analytical skills necessary to tackle complex problems.

You thrive in collaborative environments and appreciate the diversity of thought — you enjoy working alongside applied scientists and engineers to create impactful solutions that enhance user experiences across Apple products. Your strong communication skills enable you to articulate technical concepts to non-technical stakeholders effectively.

Desirable

Experience with large language models (LLMs) is a plus — you are familiar with the latest advancements in AI and how they can be applied to improve user interactions. A passion for local information and mapping technologies will help you align with the team's mission to redefine how users navigate their surroundings.

What you'll do

As a Senior Machine Learning Engineer, you will be instrumental in shaping the future of Siri's local search capabilities — you will design and implement machine learning models that understand user queries and rank documents effectively. Your work will directly impact how users discover local businesses and navigate their environments.

You will collaborate with a diverse team of engineers and applied scientists, leveraging your expertise to drive innovation in search technologies — you will participate in brainstorming sessions and contribute to the product vision, ensuring that the solutions you develop align with user needs.

Your responsibilities will include training and fine-tuning machine learning models, conducting experiments to evaluate model performance, and iterating on solutions based on user feedback — you will also be involved in deploying models to production and monitoring their effectiveness in real-world scenarios.

What we offer

Apple provides a dynamic work environment where you can make a significant impact on millions of users — you will have the opportunity to work on cutting-edge technologies and contribute to products that enhance everyday experiences. We offer competitive compensation and benefits, along with a culture that values diversity and inclusion.

Join us in our mission to empower users with the information they need to navigate their world — we encourage you to apply even if your experience doesn't match every requirement. Your unique perspective could be the key to our next breakthrough.

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