Software Engineer - Machine Translation Automation at Apple

Seattle, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Jun, 26

Salary

0.0

Posted On

25 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Software Infrastructure Tools, Spark, Dataflow, Dask, Distributed Systems, Cloud Computing, CI/CD, Pipeline Building, Orchestration System, Deployment Workflows, Model Training, Model Evaluation, Experiment Tracking, PyTorch, JAX

Industry

Computers and Electronics Manufacturing

Description

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

Responsibilities

The role involves building and maintaining the infrastructure and tooling that powers model automation pipelines, focusing on scalability, robustness, and efficiency for machine learning automation.