AIML - Machine Learning Engineer, NLP - Siri and Information Intelligence

$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 position within Apple's Siri team focuses on developing and deploying applications powered by large language models (LLMs). This role is integral to the ML Systems Evaluation Engineering (MLSEE) team, which evaluates AIML products aimed at enhancing user experiences globally. The ideal candidate will engage in all phases of the model development lifecycle, ensuring high accuracy and performance in machine learning applications.

Responsibilities

• Develop or fine-tune machine learning models, including LLMs, for various applications.
• Design and implement ETL pipelines and data processing workflows using technologies such as AWS, Spark, and Airflow.
• Build and deploy APIs to provide seamless access to machine learning models.
• Engage in prompt engineering to create high-quality synthetic datasets for model training and evaluation.
• Maintain and manage deployments using Kubernetes and related technologies.
• Collaborate with cross-functional teams to understand project requirements and deliver scalable solutions.

Requirements

• Strong programming skills in Objective Oriented Programming and system design using Python (or other languages).
• Experience with cloud services like AWS (S3, ECS, Lambda) and container orchestration using Kubernetes.
• Knowledge of big data technologies like Spark, Airflow, and Trino, and familiarity with databases like Snowflake, MySQL, PostgreSQL.
• Experience with data visualization and reporting tools such as Tableau.

Nice-to-haves

• Prior experience in machine learning or related scientific research.
• Demonstrated ability to manage large datasets, generate synthetic data, fine-tune models, and conduct comprehensive statistical evaluations.
• Excellent problem-solving, communication, and teamwork skills.
• Proven experience in designing and building scalable applications and services.
• Advanced degree in Computer Science, Machine Learning, or a related field is preferred.

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