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Machine Translation Jobs (NOW HIRING)

Datawords

Machine Translation Specialist

Beverly, NJ

Reporting directly to the Machine Translation team manager, your primary responsibilities will include: Test the new features on our internal MT management tool and report back the testing results ...

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How much do machine translation jobs pay per hour?

As of May 30, 2026, the average hourly pay for machine translation in the United States is $20.23, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $23.08 per hour, depending on experience, location, and employer.

What is a Machine Translation job?

A Machine Translation job involves developing, improving, or managing automated translation systems that convert text from one language to another. Professionals in this field work with neural machine translation models, linguistic data, and AI algorithms to enhance translation accuracy. They may also evaluate and post-edit machine-generated translations to ensure quality. Skills in computational linguistics, natural language processing (NLP), and language expertise are often required for this role.

What are the key skills and qualifications needed to thrive in the Machine Translation position, and why are they important?

To thrive in Machine Translation, you need a strong background in computational linguistics, natural language processing (NLP), machine learning, and fluency in multiple languages, typically supported by a relevant degree or research experience. Familiarity with tools like TensorFlow, PyTorch, translation memory software, and experience with neural machine translation systems are highly valued. Excellent problem-solving skills, attention to detail, and effective collaboration are essential soft skills for this role. These skills are crucial for developing accurate translation models, overcoming linguistic challenges, and working effectively within cross-functional teams.

What are the typical responsibilities and daily tasks of someone working in Machine Translation?

Professionals in Machine Translation are commonly responsible for developing, testing, and refining automated translation models and algorithms. On a daily basis, you might work on curating and preprocessing language data, evaluating the performance of translation engines, and implementing improvements based on linguistic analysis and user feedback. Collaboration is frequent with software engineers, data scientists, and linguists to ensure the models are both technically proficient and linguistically accurate. Additionally, you may participate in research to stay updated on emerging techniques, contributing to continuous advancements in translation quality and efficiency.
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Machine Translation jobs near you
Infographic showing various Machine Translation job openings in the United States as of May 2026, with employment types broken down into 66% Full Time, 17% Part Time, and 17% Contract. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution, with an average salary of $42,068 per year, or $20.2 per hour.
AI/ML - Machine Learning Research Engineer, Machine Translation

AI/ML - Machine Learning Research Engineer, Machine Translation

Apple

Bodega Bay, CA

$139.50K - $210.10K/yr

Full-time

Medical, Dental, Retirement

Posted 14 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

The Apple Machine Translation team is seeking exceptional researchers and scientists to contribute to the development of the next generation of core machine translation (MT) technology and large language model (LLM) technologies. Our mission is to empower our users to communicate seamlessly across language barriers and execute multilingual tasks with ease. If you are passionate about natural language processing, language modeling (LLMs), and machine translation, we invite you to join our team and collaborate on creating the most advanced multilingual solution across the Apple ecosystem.
Description
Multilingual tasks, particularly Machine Translation, have advanced significantly due to the development of multilingual Large Language Models. The Apple MT organization is dedicated to researching state-of-the-art approaches to Machine Translation and Multilingual Large Language Models, as well as applications of this technology. These applications include the Translate app, Safari web page translation, and system-wide translation.
We are seeking research scientists and engineers with a passion for applied research in the field of Multilingual Large Language Models and Machine Translation. Your role will involve investigating novel modeling and learning approaches and evaluation methods. As a member of the core modeling team, you will have the opportunity to collaborate with a diverse range of language technologies and contribute to the advancement of LLM and MT technology to address real-world challenges.
An ideal candidate should possess exceptional oral and written communication skills and demonstrate a collaborative approach. A track record of impactful contributions to the field of LLM, MT, or related disciplines is highly preferred for senior researchers.
Preferred Qualifications
Proficiency in key language technologies, including machine translation, large language models, and natural language processing.
The ability to formulate research problems, design, experiment, and implement solutions in programming languages such as C/C++, Java, Python, and Bash scripting.
The design and deployment of real-world, large-scale, user-facing machine translation or large language model systems.
Strong spoken and written communication skills.
Minimum Qualifications
3+ year experience in machine learning and NLP including model training, inference, Large Language Models and neural machine translation, language modeling, sequence-to-sequence models, etc.
Experience developing AI/ML systems at scale in production or in high-impact research environments.
Knowledge with common deep learning toolkits including JAX, PyTorch or Tensorflow.
Passionate about machine translation, large language model and natural language processing.
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 $139,500 and $210,100, 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.

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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

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