Job Details

Weekly Hours: 40

Role Number: 200651662-3337

Summary

Play a part in the next revolution in human-computer interaction. Build groundbreaking technology for large scale systems, spoken language, big data, and artificial intelligence. The Machine Translation team is looking for exceptional Software Engineers passionate about delighting customer's experience, building and improving the Machine Learning Automation and Tooling with a strong focus on model automation pipelines development and deployment.

Description

You will be part of a team that's responsible for a wide variety of language technologies related development activities. Your focus will be on building and maintaining the infrastructure and tooling that powers model automation pipelines, ensuring they are highly scalable, robust and efficient. The role will be part of the model automation team to deal with large quantities of data, build reliable data processing systems, and support the team in tackling real world problems at scale.

Minimum Qualifications

• 4+ years of software engineering experience building scalable, production-quality systems

• Proficient coding skills in Python and experience with software infrastructure tools

• Experience with big data frameworks (Spark/Dataflow/Dask), large distributed systems, and cloud computing

• Strong understanding of CI/CD practices, hands on experience in pipeline building, orchestration system and deployment workflows

• Excellent communication and problem solving skills

• Familiarity with ML concepts (model training, evaluation, experiment tracking) is a plus

• Experience with ML frameworks such as PyTorch or JAX is a plus

Preferred Qualifications

• 5+ years of software engineering experience building scalable, production-quality systems

• Excellent coding skills in Python and experience with software infrastructure tools

• Experience with big data frameworks (Spark/Dataflow/Dask), large distributed systems, and cloud computing

• Strong experience with ML concepts (model training, evaluation, experiment tracking) is a plus

• Strong experience with ML frameworks such as PyTorch or JAX is a plus

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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) .