The Machine Translation team is seeking exceptional Software Engineers to contribute to the development of groundbreaking technology in human-computer interaction. The focus of this role is on building and maintaining infrastructure and tooling for model automation pipelines. Engineers will work with large quantities of data and develop reliable data processing systems. The team emphasizes scalability, robustness, and efficiency in their solutions.

• 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 such as Spark, Dataflow, or Dask
• Strong understanding of CI/CD practices and hands-on experience in pipeline building and deployment workflows
• Familiarity with machine learning concepts including model training and evaluation is a plus
• Experience with ML frameworks such as PyTorch or JAX is a plus

• Build and improve Machine Learning Automation and Tooling with a focus on model automation pipelines development and deployment.
• Ensure the infrastructure and tooling are highly scalable, robust, and efficient.
• Deal with large quantities of data and build reliable data processing systems.
• Support the team in tackling real-world problems at scale.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.