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Machine Translation Engineer Jobs (NOW HIRING)

$77K - $105K/yr

We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content ... The Engineering Team at LILT LILT is a high-performance, large-scale language translation system.

Senior Forward Deployed Engineer

Washington, DC · On-site

$118K - $162K/yr

We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content ... The Engineering Team at LILT LILT is a high-performance, large-scale language translation system.

This role will work to take on Reddit's SEO efforts and support Machine Translation. You will work with an experienced engineering team to help Reddit thrive in the ever-changing search ecosystem.

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

... 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 ...

... 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 ...

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 ...

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Machine Translation Engineer information

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$31.5K

$128.8K

$193.5K

How much do machine translation engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for machine translation engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

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 are hiring for Machine Translation Engineer jobs?

Cities with the most Machine Translation Engineer job openings:

What states have the most Machine Translation Engineer jobs?

States with the most job openings for Machine Translation Engineer jobs include:

What are popular job titles related to Machine Translation Engineer jobs?

For Machine Translation Engineer jobs, the most frequently searched job titles are:

Infographic showing various Machine Translation Engineer job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Applied Science Manager, Translation Services

Seattle, WA • On-site

Amazon.com Services LLC
IT Services • 10K+ employees

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,171 frontline employees who took The Breakroom Quiz


Job description

Have you ever wondered how Amazon launches and maintains a consistent customer experience across hundreds of countries and languages it serves its customers? If so, we have an exciting opportunity for you!
Translation Services is seeking an Applied Science Manager to own the technical vision and multi-year science roadmap spanning machine translation, multimodal content (image translation, video subtitling), and automated quality evaluation. This leader will manage scientists and MLEs, define research direction for novel problem spaces with limited industry precedent, and bridge science breakthroughs into production-ready systems operating at Amazon scale.
As a leader of the Science team of TS, this person will be responsible for leading their team in designing algorithmic solutions based on data and mathematics for translating billions of words annually across 130+ and expanding set of locales. The goal is to build solutions with minimal human touch involved in any language translation and ensure accurate translated text is available to our worldwide customers in a streamlined and optimized manner.
With access to vast amounts of data, technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way customers and stakeholders engage with Amazon and our platform worldwide. This role requires strong technical skills, a deep understanding of machine learning approaches, and a solid grasp on NLP and LLM techniques to solve complex language translation challenges. You must have a demonstrated ability for optimizing, developing, launching, and maintaining large-scale production systems.
As a key member of the team, you will oversee all aspects of the software lifecycle: design, experimentation, implementation, and testing. You should be willing to dive deep when needed, move rapidly with a bias for action, and get things done. You should have an entrepreneurial spirit, know how to deliver, and long for the opportunity to build pioneering solutions to challenging problems. This role will demand resourcefulness and willingness to learn on both the technical and business side.
Key job responsibilities
In this role, you will work closely with business partners, applied scientists, software development engineers, and product managers to accelerate building solutions to expand translation capabilities. You will have significant influence on our overall strategy by helping define science and engineering strategy, define product features, drive system architecture, and spearhead the best-practices that enable a quality product. You will also influence the development processes, and develop well-rounded skills such as leadership, and effective project management. Building a strong development team and developing career plans for the scientists and engineers reporting to you will be a key responsibility. Throughout, you should possess creativity, curiosity, and excellent judgment to thrive in an environment of ambiguity.
A day in the life
You will spend your days collaborating with scientists, developers, customers, stakeholders, and converting the business needs into a data-driven solution. You will support a team to design and execute science products. You will dive deep into the data and balance technical execution with longer term strategy. You will grow and develop your team.
About the team
Translation Services is entering a phase where the problems ahead are fundamentally different from the problems we've solved. Our text translation stack is production-grade and serving 30+ language pairs across Retail. But the next frontier — image translation, video subtitle localization, long form text and automated quality evaluation — represents novel research problems at Amazon scale with limited industry precedent.
BASIC QUALIFICATIONS- 3+ years of scientists or machine learning engineers management experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
PREFERRED QUALIFICATIONS- Experience building machine learning models or developing algorithms for business application
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.


USA, WA, Seattle - 183,800.00 - 248,700.00 USD annually

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US