What are the responsibilities and job description for the Software Engineer - Machine Translation Automation position at Apple, Inc.?
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.
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.
4 years of software engineering experience building scalable, production-quality systems\nProficient coding skills in Python and experience with software infrastructure tools\nExperience with big data frameworks (Spark/Dataflow/Dask), large distributed systems, and cloud computing\nStrong understanding of CI/CD practices, hands on experience in pipeline building, orchestration system and deployment workflows\nExcellent communication and problem solving skills\nFamiliarity with ML concepts (model training, evaluation, experiment tracking) is a plus\nExperience with ML frameworks such as PyTorch or JAX is a plus
5 years of software engineering experience building scalable, production-quality systems\nExcellent coding skills in Python and experience with software infrastructure tools\nExperience with big data frameworks (Spark/Dataflow/Dask), large distributed systems, and cloud computing\nStrong experience with ML concepts (model training, evaluation, experiment tracking) is a plus\nStrong experience with ML frameworks such as PyTorch or JAX is a plus
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.
4 years of software engineering experience building scalable, production-quality systems\nProficient coding skills in Python and experience with software infrastructure tools\nExperience with big data frameworks (Spark/Dataflow/Dask), large distributed systems, and cloud computing\nStrong understanding of CI/CD practices, hands on experience in pipeline building, orchestration system and deployment workflows\nExcellent communication and problem solving skills\nFamiliarity with ML concepts (model training, evaluation, experiment tracking) is a plus\nExperience with ML frameworks such as PyTorch or JAX is a plus
5 years of software engineering experience building scalable, production-quality systems\nExcellent coding skills in Python and experience with software infrastructure tools\nExperience with big data frameworks (Spark/Dataflow/Dask), large distributed systems, and cloud computing\nStrong experience with ML concepts (model training, evaluation, experiment tracking) is a plus\nStrong experience with ML frameworks such as PyTorch or JAX is a plus