Senior Machine Learning Engineer - Automation for Translation and Multilingual Intelligence

Senior Machine Learning Engineer - Automation for Translation and Multilingual Intelligence

Cupertino, California, United States Machine Learning and AI

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 AI/ML - Translation & Multilingual Intelligence team is looking for exceptional Machine Learning 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 developing the model automation pipelines which are highly scalable, robust and efficient. The role will be part of the model automation team to deal with large quantities of data, apply the state-of-the‑art methods in deep learning to tackle real world problems, create the production quality models at scale and set up ML CI/CD pipelines.

Responsibilities

• Developing automation pipelines and tools for training, evaluating and deploying machine learning models for machine translation and related NLP tasks
• Implementing and optimizing ML pipelines with emphasis on distributed data processing, training, inference throughput and efficiency
• Collaborating with software engineers and QE to integrate ML models into production systems

Minimum Qualifications

• 3+ years working experience in ML lifecycle, Model management, data processing, large distributed system & cloud computing such as Spark, Ray and Dask
• Proficient coding skills in Python and experience with ML infrastructure tools such as vLLM, SGLang, TRT-llm, Slime or Megatron-LM
• Excellent communication and problem solving skills

Preferred Qualifications

• Strong machine learning expertise with hands-on experience in model fine-tuning, evaluation, experiment tracking, pipeline building and deployment is a big plus
• Experience with LLMs, neural machine translation is a plus
• Deep knowledge in ML frameworks and technologies such as NLP, MT, ASR, PyTorch, TensorFlow, JAX, and transformer architectures is a plus

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 $150,400 and $277,600, 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.
• Comprehensive medical and dental coverage
• Retirement benefits
• A range of discounted products and free services
• 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.

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

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.

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Apple accepts applications to this posting on an ongoing basis.