Machine Learning Engineer

This Machine Learning Engineer role sits on the Apple Knowledge Quality Team and focuses on building large-scale data management alongside machine learning and deep learning systems that support Knowledge Q&A experiences powering features such as Siri and Spotlight. The work includes designing graph and web-document ML systems and using measurement and evaluation to guide product evolution.

Responsibilities

• Design and develop platform features spanning large-scale data management, machine learning, and deep learning systems over graph data and web documents
• Support product evolution through measurement, evaluation, and analysis of user experience
• Collaborate with cross-functional teams to influence how hundreds of millions of people search and receive results on their computers and mobile devices
• Advance Knowledge Question Answering capabilities in Siri

Requirements

• Degree in Computer Science, Machine Learning, or related field with 2+ years of industry experience building production ML/AI systems, or PhD in a related field
• Proficiency in mainstream programming languages such as Python, Scala, and Go
• Experience building and maintaining large-scale data systems, knowledge graphs, and end-to-end ML pipelines in production, ideally using the Apache software stack (for example, Spark)
• Hands-on production experience with machine learning frameworks such as PyTorch or TensorFlow
• Experience with natural language processing, statistical data analysis, and model evaluation methodologies
• Demonstrated ability to collaborate with cross-functional partners across product, engineering, and data science
• Experience with CI/CD pipelines, model deployment, and monitoring solutions

Technologies

• Python, Scala, Go
• Apache software stack, Spark
• PyTorch, TensorFlow
• Natural language processing
• CI/CD pipelines, model deployment, monitoring solutions
• Knowledge graphs

Preferred Qualifications

• MS degree with 6+ years of industry experience building and scaling ML/AI systems, or PhD degree with 3+ years of industry experience in production ML environments
• Proven record designing, deploying, and maintaining large-scale distributed ML systems serving millions of QPS (queries per second)
• Experience with A/B testing, experimentation frameworks, and data-driven product iteration at scale
• Experience designing human-in-the-loop evaluation pipelines and using user feedback to improve model performance
• Hands-on experience with LLM deployment, prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), or other generative AI technologies in production
• Experience building model monitoring, observability, and quality assurance systems for production ML services
• Experience optimizing ML systems for latency, throughput, and cost at scale
• Track record of shipping ML-powered features that measurably improved user experience for consumer-facing products
• Strong product intuition and ability to translate business requirements into technical solutions

Benefits

• Comprehensive medical and dental coverage
• Retirement benefits
• Discounted products and free services
• Reimbursement for certain educational expenses, including tuition
• Opportunity to become an Apple shareholder through participation in Apple discretionary employee stock programs
• Discretionary restricted stock unit awards
• Ability to purchase Apple stock at a discount if voluntarily participating in the Employee Stock Purchase Plan
• Discretionary bonuses or commission payments, and relocation (might be eligible)

Pay & Benefits

• Base pay range for this role is $142,300 to $263,300 per year
• Base pay depends on skills, qualifications, experience, and location
• Apple benefit, compensation, and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program

Location & Work Setup

• Seattle, WA (onsite)