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Home›Jobs›Apple›Machine Learning Engineer, Speech Products
Apple

About Apple

The personal technology company redefining user experience

🏢 Tech, Hardware👥 1001+ employees📅 Founded 1976📍 Cupertino, CA⭐ 4.2
B2CB2BHardwareSaaSTelecommunicationseCommerce

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...

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Apple

Machine Learning Engineer, Speech Products

Apple • California, United States

Posted 16h agoMid-LevelMachine learning engineer📍 California
Apply Now →

Skills & Technologies

PythonMachine learning

Overview

Apple is seeking a Machine Learning Engineer to develop and maintain core ML products for speech technologies. You'll work with Python and apply machine learning concepts to solve complex problems. This role requires experience in building scalable ML pipelines.

Job Description

Who you are

You have a strong background in machine learning and software engineering, with experience designing, building, and maintaining scalable ML pipelines for training, evaluation, and continuous monitoring. Your proficiency in Python allows you to develop robust systems that support the deployment of machine learning models. You possess a solid understanding of core ML concepts, including supervised and unsupervised learning, model evaluation, and performance metrics. You thrive in collaborative environments, working alongside experts in ML, software, and infrastructure to deliver innovative user-facing products. You are excited about applying your analytical skills to solve complex problems and contribute to impactful projects that reach millions of users.

Desirable

Experience with automation and scalable infrastructure is a plus, as you will be involved in transforming research ideas into reliable, production-ready modeling workflows. Familiarity with model validation and deployment processes will enhance your contributions to the team. You are eager to improve automation and ensure high-quality model behavior at scale, creating frameworks that accelerate model development across the organization.

What you'll do

In this role, you will join a pivotal team that builds the automation and scalable infrastructure for Apple’s speech research. You will design and maintain training and evaluation pipelines that enable rapid experimentation and robust model validation. Your work will involve engineering and refining systems that transform research ideas into reliable, production-ready workflows. You will improve automation processes and ensure that models perform well at scale, contributing to the backbone of Apple’s state-of-the-art speech capabilities. You will collaborate with a highly technical team to develop systems used by millions of people, applying your machine learning and data science skills to deliver innovative products.

What we offer

Apple offers a dynamic work environment where you can contribute to cutting-edge technologies that impact users worldwide. You will have the opportunity to work on meaningful projects that leverage your skills in machine learning and software engineering. The company promotes a culture of collaboration and innovation, encouraging you to apply your expertise to solve complex challenges. You will be part of a team that values diversity and inclusion, fostering an environment where everyone can thrive and contribute to the success of Apple’s speech technologies.

Interested in this role?

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