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Machine Translation Engineer Jobs in California (NOW HIRING)

... CMS, machine translation, and AI services into resilient, scalable workflows Lead ... Engineering, Information Systems, Localization, or related field. Experience managing global ...

... machine translation, or something equally complex • Experience adapting or training foundation models (language or multimodal) for novel domains Preferred : • You've built agents that can plan ...

... machine translation, AI services, and enterprise content systems. Working across a broad set of ... engineering, or enterprise content platforms within global consumer technology or high-profile ...

Senior AI/ML Engineer

San Francisco, CA · On-site

$123K - $169K/yr

... machine translation, or something equally complex • Experience adapting or training foundation models (language or multimodal) for novel domains Preferred : • You've built agents that can plan ...

Extensive experience in natural language process (NLP), Machine translation, and/or video analysis * Experience with Caffe/TensorFlow/Torch or similar deep learning frameworks * Programming ...

Extensive experience in natural language process (NLP), Machine translation, and/or video analysis * Experience with Caffe/TensorFlow/Torch or similar deep learning frameworks * Programming ...

Senior AI/ML Engineer

San Francisco, CA · On-site

$240K - $270K/yr

As an AI/ML Engineer, you'll join a growing team focused on building the AI foundation that will ... search, machine translation, or something equally complex * Experience adapting or training ...

Staff AI/ML Engineer

San Francisco, CA · On-site

$240K - $270K/yr

As an AI/ML Engineer, you'll join a growing team focused on building the AI foundation that will ... search, machine translation, or something equally complex * Experience adapting or training ...

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Machine Translation Engineer information

What is a machine translation engineer?

Machine Translation Engineers are professionals who design, develop, and maintain systems and algorithms that automatically translate text or speech from one language to another. They work at the intersection of software engineering, linguistics, and artificial intelligence, often utilizing techniques from natural language processing (NLP) and deep learning. Their responsibilities include improving translation accuracy, optimizing performance, integrating translation models into applications, and addressing language-specific challenges. Machine Translation Engineers often collaborate with linguists, data scientists, and software developers to create effective multilingual solutions.

What skills and qualifications are needed to thrive as a machine translation engineer?

To thrive as a Machine Translation Engineer, you need strong expertise in computational linguistics, natural language processing (NLP), and proficiency in programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), translation memory tools, and experience with neural machine translation (NMT) systems are commonly required. Outstanding analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with diverse teams and address complex language challenges. These competencies ensure the development of accurate, efficient, and reliable machine translation solutions that meet user and industry needs.

What challenges do machine translation engineers face when improving translation quality across languages?

Machine Translation Engineers often encounter challenges such as handling low-resource languages, managing idiomatic expressions, and ensuring contextual accuracy in translations. Balancing translation quality with system performance and scalability is also a frequent concern, especially when deploying solutions at scale. Collaborating closely with linguists and data scientists is essential to continuously refine models, address edge cases, and incorporate user feedback for ongoing improvement.

What cities in California are hiring for Machine Translation Engineer jobs?

Cities in California with the most Machine Translation Engineer job openings:

Applied Machine Learning Engineer - Localization

Cupertino, CA • On-site

Apple
Computer and Electronic Product Manufacturing • 10K+ employees

Full-time

Posted 9 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz


Job description

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

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976