1 job for "AIML - Machine Learning Researcher, Speech"

AIML - Machine Learning Researcher, Speech

At Apple - Cupertino

Posted on Oct 16

View job Apply on company site

Apple

AIML - Machine Learning Researcher, Speech

Cupertino, CA$150,400 – $225,300Posted 22 days ago

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Play a part in building the next revolution in speech and machine learning technology. We're looking for passionate researchers to work on ambitious, curiosity-driven, long-term speech research projects. In this role, you'll have the opportunity to work on innovative foundational research in speech technology and machine learning. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results in high-quality scientific venues.

Description

In this position, you will be responsible for pushing the boundaries of machine learning research, with a focus on running state-of-the-art speech models efficiently on-device. You will collaborate with researchers to push the state-of-the-art in the speech domain, specifically focusing on ASR and speech language models. You will publish your results in top conferences, making sure that your research results are reproducible and of high quality. You will prepare technical reports for publication and conference talks, and have the opportunity to collaborate with broader teams across Apple.

Preferred Qualifications

Ability to formulate a research problem and design, experiment, implement, and communicate solutions.

Ability to work in a diverse, collaborative environment

High-quality open-source contributions to related projects

Strong presentation skills for internal and external communications.

Minimum Qualifications

Demonstrated expertise in machine learning research

Publication record in relevant machine learning conferences (e.g., NeurIPS, ICML, ICLR, etc.) and/or relevant speech conference/Journals (e.g., Interspeech, ICASSP, ASRU, etc.)

Hands-on experience working with deep learning toolkits such as PyTorch

Strong mathematical skills in linear algebra and statistics

PhD, or equivalent practical experience, in Computer Science, or related technical field.

Pay & Benefits

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 $150,400 and $225,300, 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.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

View company profile