Software Engineer - Machine Translation Automation

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
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
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
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 .
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 $139,500 and $210,100, 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. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.