AIML - Machine Learning Engineer, Siri Automatic Speech Recognition Accuracy Iteration

Cambridge, Massachusetts, United States
Machine Learning and AI


Weekly Hours: 40
Role Number:200534043
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!


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

Key Qualifications

  • 3+ years of experience in machine learning, natural language processing,
  • Mastery of two of following languages: Python, Go, Java, C++
  • Excellent knowledge and good practical skills in major machine learning algorithms
  • Strong data analytical skills
  • An extraordinary teammate with strong interpersonal skills

Preferred Qualifications

Education & Experience

Bachelors, Masters or Ph.D in Computer Science or Engineering or a related field, or equivalent experience

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.