Staff Machine Learning Engineer, Apple

AIML, Search and Knowledge Quality, Siri and Information Intelligence

$207.8-378.7k

Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan; subject to eligibility requirements and other terms of the applicable plan or program

Kubernetes

Python

Scala

Tensorflow

C++

Spark

PyTorch

Expert level

San Francisco Bay Area

Office located in Santa Clara, CA

Personal technology company

Job no longer available

Personal technology company

1001+ employees

B2CB2BHardwareSaaSTelecommunicationseCommerce

Job no longer available

$207.8-378.7k

Kubernetes

Python

Scala

Tensorflow

C++

Spark

PyTorch

Expert level

San Francisco Bay Area

Office located in Santa Clara, CA

1001+ employees

B2CB2BHardwareSaaSTelecommunicationseCommerce

Company mission

Apple's mission is to bring the best user experience to its customers through its innovative hardware, software, and services.

Job

Company

Role

Who you are

15+ years industry experience
Excellent programming skills in mainstream programming languages such as C++, Python, Scala, and Go
Experience working with large data sets and end-to-end pipelines, ideally using the Apache software stack (e.g. Spark)
Working experience with natural language processing and machine learning frameworks such as PyTorch, Tensorflow, or JAX
Ability to understand/clarify product requirements and translate them into technical tasks in ML modeling and engineering
Good interpersonal skills and teamwork; demonstrated ability to connect and collaborate with others
Experience in machine learning/AI or a similar area
BS in Computer Science or related field

Desirable

MS or Ph.D in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or a related field
Experience with search and knowledge graph
Experience with cloud-native deployment (e.g. Kubernetes) is a good plus
Experience with prompt engineering, fine-tuning, evaluating for large language models
Experience with retrieval-augmented generation or generative AI technology is a plus
Passion for building phenomenal products and curiosity to learn

What the job involves

As a Machine Learning Engineer, you will be immersed in one of the most dynamic high-performance computing environments, handling petabytes of data and millions of queries per second
You will collaborate with world-renowned experts in large-scale data management, machine learning systems, and knowledge extraction, focusing on question answering, assistant response ranking, summarization, and search technologies
Your role will involve designing and developing features for platforms that manage complex data structures, allowing you to innovate and build products that delight users daily while significantly impacting how information is accessed and utilized across Apple's ecosystem
The Search and Knowledge Quality Team at Apple is seeking exceptional Machine Learning Engineers to join our prestigious group of world-class experts specializing in large-scale data management and machine learning systems
You will play a pivotal role in pushing the boundaries of knowledge question answering within Siri and other Apple products, impacting how hundreds of millions of users interact with their devices
In this role, you will design and develop cutting-edge features for platforms involving large-scale data management, machine learning, and deep learning systems applied to graph data, web documents, and both semi-structured and unstructured data feeds
This is your chance to shape upcoming Apple products by leveraging your applied machine learning expertise and robust software engineering skills, alongside a diverse team of applied scientists and distributed systems engineers
Your contributions will refine user search experiences, ensuring they are not only seamless but deeply satisfying in meeting users' information-seeking needs

Our take

With a market capitalisation that reached $3 trillion in 2022, Apple is the world's most valuable company. A vertically integrated approach and obsessive focus on the user experience have helped to make Apple one of the most successful companies in the world.

Since taking over at Apple, Tim Cook has been carefully curating the company's reputation as a champion of consumer privacy, trying to set the company apart from others that monetise their users' data.

The company even went as far as to introduce sweeping privacy changes which made it difficult to tailor ads to Apple’s 1bn+ iPhone users. This rocked the $400bn digital ads market, seriously harming the revenue of its bigger rivals in the lucrative industry and forcing them to rebuild their ad infrastructure.

Despite this, the company has been shaken by supply chain issues and moved a considerable amount of its manufacturing from China to India, and increased its Vietnam presence. This is because of multi-pronged production disruption in China, the second largest customer market for Apple, and triggered an estimated 10% revenue drop in the first quarter of 2023.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

204% employee growth in 12 months

Glassdoor (4.2)

Trustpilot (1.8)

Company

Company benefits

Everyone has different needs and schedules, and that’s why we offer medical plans that cover both physical and mental healthcare
In addition, employees have the option to access medical professionals from almost anywhere and get free confidential counselling — virtual or in person
You could also be eligible for help with fitness-related expenses
Our medical coverage plans include family-friendly features such as fertility treatments
Because we know there’s more than one way to bring a new child into your family, we support all kinds of new parents with paid leave and our gradual return-to-work programme
You also get paid time away if you need to care for an ill family member and free guidance to help you find support for childcare, elderly care, legal referrals and more
At Apple, we make sure women earn the same as men performing similar work. As part of that effort, your salary history is history — we won’t ask
Every employee here also has the opportunity to become an Apple shareholder, because all are eligible for stock grants and also a discount when purchasing Apple stock
To help you prepare for retirement, our pension can help you meet your savings goals. And to help you prepare for the unexpected, you’ll have the security of multiple forms of income protection
Plan on developing both professionally and personally. Apple University creates classes, seminars and beyond-the-classroom tools that help employees understand Apple’s culture, organisation, values, and role in the world. You can sharpen general business and software skills through online classes
For more formal education related to advancing your career at Apple, we’ll reimburse you for certain educational expenses, including tuition
Whether you’re exploring personal pursuits, welcoming a new child or caring for a family member, rest assured that you’ll have paid time away when you need it most
When you give money to an eligible organisation, we’ll match your donations one-for-one, so your contribution is doubled. And if you choose to donate your time, we’ll contribute US$25 for every hour you volunteer. Whether you donate time or money, Apple will match your contributions up to US$10,000 a year
Get the world’s best prices on the world’s best products — Apple products. You’ll also get deals on great third-party accessories
And there are services to help you manage life’s day-to-day tasks: dinner reservations, pet-sitters, shopping, personal travel, financial guidance and more

Company HQ

Cupertino, CA

Leadership

Tim Cook

(CEO, not founder)

Joined Apple in 1998 and held various senior roles before being promoted to CEO in 2011. Previously Spent 12 years with IBM, most recently as director of North American Fulfilment, where he led manufacturing and distribution functions for IBM’s Personal Computer Company in North and Latin America

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