Software Engineer - Machine Translation Automation

Software Engineer -

Machine Translation Automation Cupertino, California, United States Machine Learning and AI Summary Posted:

Mar 24, 2026

Weekly Hours:

40

Role Number:

200651662-0836 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. Responsibilities Developing and maintaining automation pipelines and tools for training, evaluating and deploying machine learning models for machine translation and related NLP tasks Building and optimizing distributed data processing systems with emphasis on efficiency, reliability, and scalability Designing and implementing CI/CD pipelines for ML model deployment and monitoring 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 Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

Note:

Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. 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. At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Apple accepts applications to this posting on an ongoing basis.