AIML - Machine Learning Engineer, Siri Automatic Speech Recognition

AIML - Machine Learning Engineer, Siri Automatic Speech Recognition

Cambridge, Massachusetts, United States

Machine Learning and AI

We are looking for engineers passionate about using machine learning to build and maintain multiple machine learning products that power Siri. In this highly accomplished, deeply technical, and close-knit team of machine learning specialists, software engineers, and infrastructure experts, you will build products that are used by millions of people. You will have the opportunity to contribute to exciting projects around Apple and use your data science, machine learning, and analytical skills to tackle challenging technical problems and ship novel products that will delight our customers!

Description

You will be a part of a team that's responsible for a wide variety of speech-related development activities, including acoustic modeling, language modeling, model evaluations, text formatting, and tools development. Our speech recognition research is typically data-driven, and we are particularly excited about unsupervised and supervised techniques to leverage large quantities of data. You should be enthusiastic about building phenomenal products. Because you'll be working closely with researchers and engineers from a number of other teams at Apple, you're a standout colleague who thrives in a collaborative environment.

Minimum Qualifications

• Bachelors, Masters or Ph.D in Computer Science or Engineering or a related field, or equivalent experience
• 3+ years of experience in machine learning with focus on automatic speech recognition
• Proficiency in Python and SQL
• Strong problem-solving and data analytical skills

Preferred Qualifications

• Have contributed to shipping models/products to production
• Experience with foundation models
• Experience with large scale data processing
• Experience with Spark and machine learning frameworks like PyTorch

Additional Requirements

Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.