Machine Learning Engineer

As a Machine Learning Engineer on the Apple Knowledge Quality Team, you will build large-scale data management and ML and deep learning systems that support Knowledge Q&A for features used across Apple products, including 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 features for a platform covering large-scale data management alongside machine learning and deep learning systems over graph data and web documents
• Support product evolution through measurement, evaluation, and analysis of user experience
• Partner with cross-functional teams to influence how hundreds of millions of people use their computers and mobile devices to search and receive results that best match their information needs
• 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 degree 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 experience with machine learning frameworks such as PyTorch or TensorFlow in production environments
• Experience with natural language processing, statistical data analysis, and model evaluation methodologies
• Demonstrated ability to collaborate with cross-functional teams including 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 track 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 leveraging 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

Location & Work Mode

Seattle, WA (onsite)

Pay & Benefits

• Base pay range: USD 142,300 - 263,300 per year
• Base pay depends on skills, qualifications, experience, and location
• Comprehensive medical and dental coverage
• Retirement benefits
• Range of discounted products and free services
• Reimbursement for certain educational expenses, including tuition
• Opportunity to become an Apple shareholder through participation in Apple's 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, as well as relocation (might be eligible)

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.