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Localization Salary information

What is the difference between Localization Salary vs Localization Specialist?

AspectLocalization SalaryLocalization Specialist
Required CredentialsTypically requires a degree in translation, linguistics, or related fieldUsually needs a degree or certification in translation, linguistics, or language studies
Work EnvironmentCorporate, tech, or media companies focusing on global marketsTranslation agencies, multinational companies, or in-house localization teams
Employer & Industry UsageUsed by HR and compensation teams to benchmark salariesCommonly searched by job seekers and employers for role-specific salary info

Localization Salary refers to the compensation level for roles involved in localization processes, while a Localization Specialist is a specific job title within that field. Understanding the salary differences helps both employers and job seekers gauge fair compensation for localization roles.

What is a localization career?

A localization career involves adapting products, content, or software for different languages and cultures to ensure they are culturally appropriate and effective in target markets. Roles often require language skills, cultural knowledge, and familiarity with tools like translation management systems. It is a growing field in global business and technology sectors.

What are popular job titles related to Localization Salary jobs in California?

For Localization Salary jobs in California, the most frequently searched job titles are:

What job categories do people searching Localization Salary jobs in California look for?

The top searched job categories for Localization Salary jobs in California are:

What cities in California are hiring for Localization Salary jobs?

Cities in California with the most Localization Salary job openings:

Localization Salary jobs near you
Infographic showing various Localization Salary job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Machine Learning Scientist 5 - Localization

Netflix

Los Gatos, CA • On-site

Full-time

Medical, Life, Retirement, PTO

Posted yesterday

New

Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

70th of 76 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 looking for an experienced Machine Learning Scientist to join our growing team. In this role, you will build causal and machine learning models to evaluate the impact of localization algos, partner with teammates to support localization algo strategy, and train supervised ML models for localization use cases. You will also partner with a talented cross-functional team of engineers, scientists, product managers, and domain experts to shape localization strategy and deliver business impact.

Responsibilities Act as strategic partner for researchers and engineers to guide localization algo development Define and execute on roadmaps for measuring localization member impact and improving localization member experience with Causal Inference and Machine Learning tools Partner closely with other business leaders, product managers, and other data scientists to refine and scale your findings Present your research and insights to all levels of the company Become a regional expert on Localization Data Science and Engineering, helping educate and connect with regional offices About you Proven track record of researching and leading Causal Inference, Machine Learning, and AI Evaluation methods in ambiguous and complex areas with a focus on technical rigor and robustness High proficiency in standard tech stack (e.g., R, Python, SQL), Causal Inference (e.g., propensity score matching, double machine learning), and Machine Learning (Supervised Learning, LLM Evaluation methods) 4+ years of relevant experience with Causal Inference and Machine Learning applications Exceptional communication and collaboration skills coupled with strong business acumen Comfortable with ambiguity; able to take ownership, and thrive with minimal oversight and process Netflix culture resonates with you 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.

What Netflix employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Netflix logo

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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