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Machine Translation Jobs (NOW HIRING)

Cheetah Mobile

Chief Scientist - AI

Palo Alto, CA

We're looking for talented individuals interested in: deep learning, natural language processing (NLP), machine translation, video analysis, computer vision, computational statistics, speech, images ...

Cheetah Mobile

Chief Scientist - AI

Palo Alto, CA · On-site

We're looking for talented individuals interested in: deep learning, natural language processing (NLP), machine translation, video analysis, computer vision, computational statistics, speech, images ...

Life.Church

Systems Specialist

Edmond, OK · On-site

... machine translation, creating new projects, sharing tips and best practices with volunteers, and working with the translation management system support to address bugs and feature requests. • ...

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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.
Machine Learning Engineer, (Applied Machine Learning), AI & Data Platforms (AiDP)

Machine Learning Engineer, (Applied Machine Learning), AI & Data Platforms (AiDP)

Apple

Austin, TX • On-site

Full-time

Posted 12 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

Imagine what you could do here. At Apple, revolutionary ideas have a way of becoming extraordinary products, services, and customer experiences. Join the Ai Data Platform Applied Machine Learning team to pioneer enterprise solutions where generative AI meets Apple's unique commitment to privacy-first innovation. Together, we'll create tools that redefine industries while safeguarding what matters most - our users' trust.
As a pivotal member of Apple's enterprise generative AI efforts, you will help design, build, and evolve models, tools and applications that power high-impact AI experiences across the company. You will contribute to the architecture and optimization of AI/gen AI systems built for high availability, scalability, and reliability, working across backend services and application layers. You would solve AI problems in gen AI Safety, machine translation, content understanding, multi-modality, multi-agent systems, fine tuning and more. Our team designs and implements SOTA AI Models, services, and AI platform components that advance adoption of gen AI at apple. We tackle unique AI challenges in AI Safety, privacy-preserving generations, efficient inference, and multimodal integration, while enabling teams to build on top of our foundations. We deliver production-grade systems and models that meet Apple's rigorous standards for quality, performance, and scalability.
Bachelor of Science in Computer Science, Machine Learning, or a related quantitative field or equivalent experience2+ years of hands-on experience in applied AI/machine learning work in industry or 4+ years of hands on AI research and development experience in academiaDemonstrated expertise in generative AI, computer vision, natural language processing, or general machine learning with a passion for problem solving.
MS or Phd in Machine Learning, Natural Language Processing, Computer Vision or related areas strongly preferred Experience in ML frameworks for training, fine-tuning, and deploying ML/generative models at scaleProven track record of building large scale, enterprise-grade ML/Gen-AI products in cloud environments (AWS, GCP , Azure) or on-prem infrastructure

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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