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AIML - Intern (Machine Translation), Siri Language Technologies

🏢 Apple 📍 Cambridge, East of England, England 💼 Company - Public

Currency:

£42,000 - £65,000

£3,500 - £5,417 / mo

Verified Corporate Employer (Authorized Corporate Employer)

This vacancy is published by an accredited employer with authorized corporate payroll and standard compliance adherence.

Transatlantic Cost of Living & Purchasing Power Benchmark

Verified Analytics

Location Base

Cambridge, East of England, England

Tier-1 UK Economic Zone

Est. Take-Home Pay

68% - 74% (After PAYE & NI)

Single tax filer baseline

Transatlantic Parity

1.0 GBP ≈ $1.28 USD Living Standard

Direct corporate benchmark

Position Overview & Specifications

Summary

Posted: Jan 26, 2023

Weekly Hours: 40

Role Number:200411270

The AI/ML Global Product Experience team creates groundbreaking user experiences across Siri markets using natural language processing (NLP), machine learning (ML) and modern software development techniques. The features we build are redefining how hundreds of millions of people across all Siri languages are connected to the information they are looking for and the apps they love to use through various devices. As part of this group, you will work in one of the most exciting environments with state of the art ML and NLP models applied to production problems. We build ML technologies that scale to all Siri languages and beyond. You will have the opportunity to innovate with multilingual NLP models to help Siri understand different languages better.

Key Qualifications

In depth knowledge of innovative large language models and machine translation models
Experience with modern ML frameworks, like TensorFlow or PyTorch
Sound programming skills in Python
Excellent interpersonal skills; able to work in a team as well as independently; can take feedback and iterate on a solution in a collaborative environment
Experience working with non-English corpora and understanding of the complexities and tradeoffs involved when scaling to non-English languages

Description

In Global Siri, we are responsible for the end to end user experience in all Siri markets. This means we build new features and scale them across Siri languages. As a machine translation intern in Global Siri, you will help us build ML solutions to scale new features and utterance understanding faster across different languages. You should be able to work with large scale systems, write high quality code and are comfortable in contributing to existing systems and developing new ones. Communication skills will be required to coordinate work across multiple teams. Specific responsibilities include: - Improve existing machine translation and paraphrasing systems by proposing and implementing state of the art solutions - Find innovative solutions for lower resourced languages and grammatically complex languages - Evaluate machine translation performance across multiple locales using automated approaches and feedback from language experts - Communicate and share your findings with the larger ML community and Global Siri teams at Apple If this sounds of interest to you, we would love to hear from you!

Education & Experience

In-depth academic experience in Machine Translation, NLP or related field

Additional Requirements

Publications demonstrating innovative research in deep learning and statistical machine learning

Experience in deploying and shipping ML and/or NLP based applications

Exposure to working with large scale data pipelines, distributed computing platform and technologies such as AWS, GCP, Kubernetes, MapReduce or similar

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. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace

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Candidate Selection & Onboarding Process

Application & Resume Screening

Submit your tailored CV/Resume directly to the talent acquisition portal.

Technical & Competency Interviews

Virtual interviews with the hiring manager and multidisciplinary team.

Formal Offer & Benefits Negotiation

Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.

Onboarding & Corporate Integration

Equipment provisioning, team orientation, and commencement of duties.

International Career Advisory • Verified Partner Network

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Hiring Organization

Apple

Apply for this Position

Location: Cambridge, East of England, England

Eligibility: Verified Employer Direct Placement

Schedule: Company - Public

Employment Guide (UK)

Direct corporate application with zero applicant fees.

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