AIML - Machine Learning Engineer, Data and ML Innovation

$135,400 - $250,600/Yr

Apple - Seattle, WA

Full-time - Mid Level

Seattle, WA

Computer and Electronic Product Manufacturing

About the position

The Machine Learning Engineer and Researcher role at Apple’s AIML organization focuses on pioneering technology for large-scale machine learning systems, particularly in data annotation and evaluation. This position involves working on long-term research projects that will significantly influence Apple’s future products and the broader machine learning ecosystem. The role emphasizes collaboration with a multidisciplinary team to develop innovative solutions that enhance data quality and model performance, ultimately impacting billions of users worldwide.

Responsibilities

• Apply innovative research in machine learning to tackle complex data annotation and product evaluation problems.
• Develop machine-based grading models to reduce annotation costs and turnaround time.
• Build pipelines to automate the assessment of data quality for training foundational and adapter models.
• Conduct research to improve data curation efficacy by identifying grading errors and biases.
• Uncover patterns in data using statistical and ML-based methods to model data distributions and discover anomalies.
• Employ data selection techniques such as novelty detection, active learning, and core-set selection for diverse data types.

Requirements

• 5+ years of experience with developing and evaluating ML applications.
• Demonstrated experience in understanding and improving data quality.
• Experience writing automated unit, integration, and acceptance tests.
• Proficient in using continuous integration systems.
• Strong database and SQL skills.
• B.S. in Machine Learning, Computer Science, Statistics, Operations Research or related areas.

Nice-to-haves

• Proven expertise in machine learning with a passion for model evaluation and applications.
• Experience with natural language processing (NLP) and large language models like BERT, GPT, or Transformers.
• Strong programming skills in Python, PyTorch, or Jax.
• Demonstrated publication record in relevant conferences (e.g., ACL, EMNLP, NeurIPS, ICML, ICLR).
• Ph.D. in Machine Learning, Computer Science, Statistics, Operations Research or related areas.

Benefits

• Comprehensive medical and dental coverage
• Retirement benefits
• Discounted products and free services
• Reimbursement for certain educational expenses including tuition
• Discretionary bonuses or commission payments
• Relocation assistance