AIML – Machine Learning Engineer, Siri and Information Intelligence Job ID- 924 Job ID- 3152

MaziCTools; United States; Remote; USD 167,000 - 251,000; Full time

Benefits offered by this job

Stock options

Relocation assistance

Tuition reimbursement

Job summary

Apple in Seattle, WA is seeking an AIML Engineer for the Siri Understanding team to build end-to-end model training and on-device deployment. You will push research into production and ensure models meet privacy and quality standards across devices.

You will collaborate with software engineers and ML scientists to advance speech invocation and speaker recognition, staying current with research while delivering robust solutions for users worldwide.

Qualifications

• Strong background in machine learning and deep learning.
• Proficiency with PyTorch and TensorFlow, plus Python/bash scripting.
• Great problem solving, communication, and cross-functional collaboration skills.

Responsibilities

• Build end-to-end model training and evaluation pipelines.
• Deploy machine-learned, on-device models with privacy and quality in mind.
• Collaborate with software engineers and ML researchers across teams to ship features.
• Measure impact on production traffic and optimize model performance.

Skills

Machine Learning

Deep Learning

Software Engineering

Communication

Education

Bachelor's degree in CS/ML or related field

Tools

PyTorch

TensorFlow

Python

Bash

Job description

Summary

Seattle, Washington, United States

Weekly Hours: 40

Siri, let’s work together at Apple! The Siri Understanding team is looking for Machine Learning Engineers passionate about enabling personalized Siri interactions and delivering such technology to users on a global scale. Build end-to-end model training and evaluation pipelines. Push the envelope on the latest research developments in speech invocation and speaker recognition. Deploy machine-learned, on-device models that are aligned with the core values of Apple, ensuring the highest standards of quality, innovation, and respect for user privacy. And work with the people who created the intelligent assistant that helps millions of people around the world get things done.

Description

You will be part of a team whose focus is on applied machine learning, on building and deploying models that constantly advance the state-of-the-art. But that is only half the story! In Siri Understanding, we own our products and user experiences end-to-end. We measure the impact of our deployed models not just on offline test sets, but also on production traffic. We optimize error rates on existing data. We also define new metrics and apply them to the data that best represents the next feature we ship. And we are sometimes constrained by the limits of on-device computation — that is where your ability to innovate will be most impactful. You will collaborate with many dynamic, cross-functional teams consisting of software engineers and machine learning engineers/scientists. The ideal candidate will excel in both academic rigor and engineering efficacy, staying up-to-date with the latest research advancements as well as delivering reliable and robust models to all devices for all users around the world. If you are passionate about building outstanding products and using the full spectrum of your skills to extend the core technology that lets Siri understand, personalize, and interact in new and exciting ways, then we cannot wait to hear from you.

Minimum Qualifications

• Strong background in machine learning and deep learning
• Proficiency in deep learning / machine learning frameworks (e.g., PyTorch, TensorFlow) and scripting languages (e.g., Python, bash), with strong software engineering fundamentals and an interest in optimizing and scaling systems globally
• Outstanding problem solving, critical thinking, creativity, and interpersonal skills; ability to communicate effectively with engineers, scientists, managers, and cross-functional partners

Preferred Qualifications

• Experience in speech, speaker, and/or language recognition
• Strong attention to detail, along with the analytical skills and the willingness to dive into data to explain anomalies and conduct error/deviation analyses

Pay & Benefits

• The base pay range for this role is between $166,600 and $250,600, 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.

AIML - Machine Learning Engineer, Siri and Information Intelligence Job ID- 924

AIML - Machine Learning Engineer, Siri and Information Intelligence Job ID- 924 Job ID- 3152