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Apple Machine Learning Engineer - Translation Automation United States, Washington, Seattle 899822389
11.01.2025
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Description
We are seeking an experienced Software Engineer to focus on the end-to-end development and continuous optimization of our machine translation model automation pipelines. You will leverage expertise in big data processing, deep learning, and ML CI/CD pipelines to drive model deployment from prototype to production scale.
Minimum Qualifications
- Bachelor’s or Master’s degree in Computer Science or a related field.
- 3+ years of experience in software engineering, with a focus on machine learning or natural language processing.
- Proficiency in Python programming language.
- Experience with big data technologies like Spark or Hadoop.
- Knowledge of orchestration or model management systems (e.g., MLflow, Kubeflow).
Preferred Qualifications
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
- Knowledge of machine translation (MT), natural language processing (NLP), or automatic speech recognition (ASR).
- Experience with ML frameworks such as PyTorch or TensorFlow.
- Experience with cloud computing platforms (AWS, Azure, Google Cloud).
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 $135,400 and $250,600, and your base pay will depend on your skills, qualifications, experience, and location.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 take affirmative action to ensure 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.
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