Sr. Machine Learning Engineer, ASR Infrastructure and Tools, Siri Speech

Apple Inc.
Cambridge, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 132K

Job location

Cambridge, United States of America

Tech stack

Artificial Intelligence
Information Engineering
Distributed Data Store
Python
Machine Learning
Natural Language Processing
Open Source Technology
Software Engineering
Unstructured Data
Speech Recognition
Data Processing
Spark
Siri
PySpark
Information Technology
Dask

Job description

Want to join the team pushing the boundaries of AI and building an intelligent assistant that helps millions of people get things done? Join the Siri team at Apple! To build the best speech recognition models, we need to use the latest technology in distributed training and the best available data. We combine those needs into one team and are focused on blurring the lines between traditional "data processing" and "model training". Efficiently training on petabytes of audio data pushes us to consider the entire training stack while developing new models to extract useful signals from unprecedented volumes of data., The Siri Speech team is looking for exceptional individuals to extend the core technology that let Siri understand, learn, and remember. You will be part of a cross-functional team consisting of software engineers as well as data and machine learning engineers/scientists and having a large impact on the Siri product. This is a rare opportunity to apply distributed data engineering techniques at the intersection of various areas such as speech recognition, natural language processing, and dialogue management.

In this role you will

  • Work with open source tools like PySpark, Jax, Ray and others

  • Optimize how to move multi-modal data from various sources into complex model training pipelines

  • Use open source models to extract signals from large volumes of speech data to drive modeling improvements

Requirements

Experience processing large, complex, unstructured data

Knowledge of distributed data processing frameworks (Beam, Spark, Dask, Ray)

Strong software engineering skills

Preferred Qualifications

M.S. or Ph.D. degree in Computer Science, or equivalent experience

Machine Learning experience a plus

Speech understanding or generation experience a plus

Strong data engineering background in speech and/or language/text/dialogue processing field

Strong software engineering abilities, ideally Python

Strong interpersonal skills to work well with engineering teams

Excellent problem solving and critical thinking

Ability to work in a fast-paced environment with rapidly changing priorities

Passionate about building extraordinary products and experiences for our users

Benefits & conditions

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $132,100 and $244,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. 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. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apply for this position