10 jobs for "Machine Learning Research Engineer, Machine Translation"

Machine Learning Research Engineer, Machine Translation

At Apple - Aachen

Posted on Oct 17

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Machine Learning Research Engineer, Machine Translation

At Apple - Aachen

Posted on Oct 12

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AIML - Senior Machine Learning Research Engineer, LLM Post-training (Multilinguality)

At Apple - New York City

Posted on Oct 19

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AIML - Applied Research Engineer, Machine Translation

At Apple - Aachen

Posted on Oct 17

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AIML - Applied Research Engineer, Machine Translation

At Apple - Aachen

Posted on Oct 12

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Machine Learning Engineer Intern (E-Commerce Knowledge Graph) - 2027 Start (PhD)

At TikTok - Seattle

Posted on Aug 31

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Machine Learning Engineer Intern (E-Commerce Knowledge Graph) - 2027 Start (PhD)

At TikTok - San Jose

Posted on Aug 31

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Applied Machine Learning Engineer - Localization

At Apple - Cupertino

Posted on Oct 11

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LLM Post-Training Engineer Graduate (Research & Product) - 2027 Start

At TikTok - San Jose

Posted on Aug 15

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LLM Post-training Engineer Graduate (Research & Product) - 2027 Start

At TikTok - San Jose

Posted on Aug 13

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Apple

Applied Machine Learning Engineer - Localization

Cupertino, CA$150,400 – $277,600Posted 28 days ago

Apply on company site View full job

Why you should apply for a job to Apple:

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The Software Localization team powers the tooling, features and processes used to

create an exceptional localized experience for Apple's international customers. We are

responsible for the Localization workflows in Xcode, framework-level Localization

support, localized OS features, and internal Localization tools used for high quality

Localization across all of Apple's products.

We are in search of a creative, motivated, and passionate technical leader who has a

robust understanding of large language models (LLMs), generative AI, Natural

Language Processing (NLP) and Machine Translation (MT). An ideal candidate has the

ability to lead diverse cross-functional efforts to build the next generation of ML tooling

and end-user features for international locales. Strong engineering fundamentals and a

passion for this area are required.

Description

As an Applied ML Engineer in the Software Localization team, you will join a

phenomenal team of passionate engineers to design, implement and qualify

Localization features across a wide variety of Apple's products. We are looking for an

exceptional candidate to help architect the future of localizing ML models and machine

translation. Your role is to ensure Apple and third-party developers using Xcode can

deliver world-class software products to millions of users around the world. Your duties

include:

- Leading the exploration and application of Large Language Models (LLMs) for

performing translation tasks

- Translating the latest research into high-quality systems and models that can be

practically applied to to further improve machine translation

- Actively engaging in all aspects of model development, from ideation, training,

experimentation to deployment.

- Collaborating with translation, Localization quality, project management and

engineering teams to develop and implement machine learning solutions

- Developing and maintaining features, frameworks and tools to help facilitate the

software translation process

- Experience with Machine Learning (ML), with a particular emphasis on Large

Language Models (LLMs) and Natural Language Processing (NLP)

- Proven ability to comprehend, interpret, and apply cutting-edge research into

consumer-oriented products

- Comprehensive knowledge and hands-on experience with fine-tuning approaches

and training models

- Experience adapting pre-trained LLMs for downstream tasks

Preferred Qualifications

Experience in software Localization / internationalization

Familiarity with Localization standards and technologies (Unicode, XLIFF, ICU, etc.)

Native-level foreign language skills in reading, writing and speaking

Experience in scripting languages (e.g. bash, Ruby, Perl)

Knowledge of Computational Linguistics

Published research in the field of Machine Learning or AI

Experience using Xcode to build software for Apple's platforms

Proficiency with Objective-C and Swift programming languages

Proficiency with Apple's development APIs (SwiftUI, Foundation, etc.)

Experience or curiosity in languages and culture

Comfortable working cross-functionally and cross-culturally

Proficiency using open-source ML toolkits and frameworks (e.g. PyTorch, TensorFlow,

OpenNMT)

Strong programming skills in Python, C or C++

Minimum Qualifications

MS in Computer Science, Artificial Intelligence, or Machine Learning (or equivalent experience)

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 $277,600, 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.

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

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