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Full Time Machine Translation Jobs (NOW HIRING)

Propio Language Services

AI Engineer

Leawood, KS · On-site

$111.40K - $133.80K/yr

Job Type Full-time Description Propio Language Services is a provider of the highest quality ... Qualifications * Bachelor's degree in Computer Science, Machine Learning, Data Science ...

New York University

Research Associate

New York, NY · On-site

$48K - $65K/yr

Description FULL TIME RESEARCH ASSOCIATE New York University Tandon School of Engineering ... Therefore, many groups have a substantial translational component in their research. Strong ...

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$128.8K

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How much do full time machine translation jobs pay per year?

As of May 30, 2026, the average yearly pay for full time machine translation 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 are the key skills and qualifications needed to thrive as a Machine Translation Specialist, and why are they important?

To thrive as a Machine Translation Specialist, you need a strong background in computational linguistics, natural language processing (NLP), and proficiency in programming languages such as Python, often supported by a relevant degree. Familiarity with machine translation frameworks (like OpenNMT or MarianNMT), CAT tools, and experience with deep learning libraries such as TensorFlow or PyTorch are typically required. Strong analytical thinking, attention to detail, and collaboration skills help you optimize translation outputs and work effectively with cross-functional teams. These skills are crucial for developing accurate, efficient translation systems that meet both linguistic and technical requirements.

What types of teams or departments do Full Time Machine Translation specialists typically collaborate with?

Full Time Machine Translation specialists often work closely with software engineering, localization, and linguistic teams to ensure high-quality automated translations. They may collaborate with data scientists to improve translation models, project managers to align on deliverables, and quality assurance teams to test output accuracy. This cross-functional environment fosters innovation and requires strong communication skills to address both technical and linguistic challenges. Effective collaboration is essential to delivering seamless, integrated translation solutions across products and platforms.

What is a Full Time Machine Translation job?

A Full Time Machine Translation job involves working with machine translation technologies, which are software systems designed to automatically translate text or speech from one language to another. Professionals in this role may develop, improve, and evaluate translation models, often using artificial intelligence and natural language processing techniques. They typically work with large datasets, collaborate with linguists and engineers, and help integrate machine translation systems into products or services. This position is usually found in tech companies, language service providers, or research organizations. A background in computer science, linguistics, or a related field is often required.

What is the difference between Full Time Machine Translation vs Part Time Machine Translation?

AspectFull Time Machine TranslationPart Time Machine Translation
Work HoursTypically 35-40 hours per weekLess than 20 hours per week
CredentialsUsually requires a degree in translation or related fieldMay accept similar credentials but with less emphasis
Work EnvironmentFull-time employment, often with benefitsFreelance or part-time roles, flexible schedule
Industry UsageCommon in translation agencies and corporate settingsPopular among freelancers and part-time workers

Full Time Machine Translation involves working standard hours with a steady schedule and benefits, often within organizations. Part Time Machine Translation offers flexible hours, suitable for those balancing other commitments, and is common among freelance translators. The choice depends on your career goals and preferred work environment.

More about Full Time Machine Translation jobs
What are the most commonly searched types of Machine Translation jobs? The most popular types of Machine Translation jobs are:
What job categories do people searching Full Time Machine Translation jobs look for? The top searched job categories for Full Time Machine Translation jobs are:
Full Time Machine Translation jobs near you
Machine Learning Manager - Localization Algorithms

Machine Learning Manager - Localization Algorithms

Netflix

Los Angeles, CA • On-site, Remote

$523K - $920K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 24 days ago

Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

57th of 64 rated media

Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next.
The Localization Data Science and Engineering team is at the forefront of removing language barriers and providing a stellar member experience to all our members regardless of their language preferences. We are responsible for the translation and cultural adaptation of all aspects of member interaction, including beautiful localized user interfaces, subtitles, and dubbing of award-winning Netflix originals.
We are seeking an experienced Machine Learning leader to lead a team of Research Scientists and Machine Learning Engineers working on multimodal LLM and audio algorithms. You will support a highly talented team in developing cutting-edge algorithms and systems, and collaborate closely with cross-functional partners to enhance localization experiences for Netflix members around the world.
Responsibilities
  • Lead a broad portfolio of end-to-end initiatives in multimodal LLM and audio algorithms to achieve Netflix's ambitious localization goals.
  • Mentor, support, and inspire a team of Research Scientists and Machine Learning Engineers, amplifying their impact and fostering their career growth.
  • Partner with technical leads on defining area strategy, planning and executing projects, and developing talent.
  • Set and operationalize a high bar for both execution speed and quality, while nurturing a culture of exceptional technical excellence.
  • Bring cutting-edge technical expertise and build deep domain knowledge to uncover new opportunities and make strategic bets.
  • Build strong relationships with cross-functional, cross-domain partners to shape long-term collaborations and shared visions.
  • Act as a functional leader and domain expert, representing the team's work and strengthening the team's internal and external brand.
  • Contribute to the growth and upskilling of the broader Machine Learning community at Netflix.

About you
  • Proven track record of successfully leading highly technical ML research and engineering teams in multimodal LLMs, speech recognition and understanding, and generative speech.
  • Highly proficient in multimodal LLM and speech algorithm research, and deeply committed to staying current with the latest technical developments; have led teams to launch and continuously improve production ML services.
  • Passionate about leading teams through ambiguous and complex technical and business challenges; focused on bringing clarity, structure, and effective execution.
  • Strong track record in mentoring and developing talent, with proven success recruiting researchers and engineers at multiple levels.
  • Master's or PhD in Machine Learning, Computer Science, or a closely related field.
  • 6+ years of hands-on ML experience (or 4+ years with a relevant PhD).
  • 2+ years of experience leading ML teams.
  • Exceptional verbal and written communication skills.
  • Deeply committed to delivering end-to-end business impact.
  • Netflix culture resonates with you.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $523,000.00 - $920,000.00. This compensation range will vary based on location.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Job is open for no less than 7 days and will be removed when the position is filled.

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About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997

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