AI/ML - Applied Research Engineer, Machine Translation

AI/ML - Applied Research Engineer, Machine Translation

**Pittsburgh, Pennsylvania, United States** **Machine Learning and AI**

**Summary**

Posted: **Mar 18, 2025**

Role Number: **200595628**

Would you like to play a critical part in the next revolution of human-computer interaction? The Apple Machine Translation team is building groundbreaking technology that enables connecting people across language barriers. We are looking for an Applied Research Engineer who is passionate about developing and optimizing solutions to create, maintain and ship scalable and high-quality model assets for a multitude of languages that power Apple's Machine Translation products such as Translate App, Safari web translation and system-wide translation.

**Description**

Apple's Machine Translation is embedded into several products across the iOS, iPadOS, macOS and watchOS ecosystems: from Translate App that is used to communicate across different languages to system-wide translation that allows you to quickly translate any highlighted text into an ever growing list of languages. Your role will be instrumental in applying and improving data and model training pipelines that allow for rapid expansion into supporting new languages and raising the bar for translation quality in shipped models. You will be part of a motivated and dynamic team that is responsible for managing data acquisition projects, training neural machine translation models, and driving evaluation criteria that help to establish an unprecedented translation quality in all of Apple's MT products.

**Minimum Qualifications**

+ Strong programming and software engineering skills (Python, C++, Java, or equivalent)

+ Good ML knowledge and modeling expertise in the context of NLP applications such as LLM, MT, ASR etc

+ Experience with large scale data processing (Spark, or equivalent), data management and analytics

+ Ability to manage complex processes across multiple stakeholders

+ Excellent communication skills and team player

+ Motivation to build the best products for Apple's customers

**Preferred Qualifications**

+ 2+ years of experience in software engineering

+ Experience in building large scale ML systems is a plus

+ Distributed cloud computing experience (GCP, AWS) is a plus

Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf)

**Apple Footer**

Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (Opens in a new window) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .

Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.