Lead ML Engineer, Siri AI Quality Engineering
Apple
Lead ML Engineer, Siri AI Quality Engineering
Job Description
Play a part in the next revolution in human-computer interaction and redefine mobile computing through voice interaction! Apple's Siri AI Quality Engineering team is looking for a hard-working and skilled Machine Learning Engineer to join our mission of delivering premier AI experiences to millions of users worldwide. In this role, you will be instrumental in ensuring the highest quality of Siri by developing and deploying innovative ML solutions for automated testing, anomaly detection, and performance analysis. You will work on a diverse set of problems, from predicting potential regressions to crafting intelligent systems that can identify subtle quality issues before they impact users. In this role, you will apply your expertise in ML, data analysis, and software engineering to drive the strategy and execution of large-scale evaluation efforts for Siri’s most sophisticated features. You will collaborate with top engineering, design, and product teams to define quality standards, build automated evaluation pipelines, and deliver insights that guide Siri’s development across iPhone, Mac, iPad, Watch, HomePod, Vision Pro, and more. If you are a self-motivated individual with a strong analytical mind, a keen eye for detail, and a desire to make a significant impact on a product used by millions, we encourage you to apply!
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learningintermediate
- data analysisintermediate
- software engineeringintermediate
- automated testingintermediate
- anomaly detectionintermediate
- performance analysisintermediate
- predicting potential regressionsintermediate
- analytical mindintermediate
- attention to detailintermediate
- collaborationintermediate
Required Qualifications
- 10+ years of proven experience in the relevant space (experience, 10 years)
- 3+ years demonstrated ability in machine learning, including hands-on work with LLMs (experience, 3 years)
- Strong programming skills in Python and experience with ML/NLP libraries (experience)
- Experience building or fine-tuning LLMs for software engineering tasks (experience)
- Understanding of prompt engineering, and retrieval-augmented generation (RAG) (experience)
- Experience developing LLM based automated evaluation frameworks (experience)
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams (experience)
Preferred Qualifications
- Experience in Swift/XCTest/XCUITest is preferred (experience)
- Excellent problem-solving, analytical, and debugging skills (experience)
- Experience working with large-scale datasets, infrastructure, and/or data formats (e.g., JSONL, protobuf) (experience)
- Experience with large-scale data processing (e.g., Spark, Hadoop) is a plus (experience)
- Comfortable working in a fast-paced, collaborative environment with shifting priorities (experience)
Responsibilities
- In this role, you will apply your expertise in ML, data analysis, and software engineering to drive the strategy and execution of large-scale evaluation efforts for Siri’s most sophisticated features. You will collaborate with top engineering, design, and product teams to define quality standards, build automated evaluation pipelines, and deliver insights that guide Siri’s development across iPhone, Mac, iPad, Watch, HomePod, Vision Pro, and more.
- If you are a self-motivated individual with a strong analytical mind, a keen eye for detail, and a desire to make a significant impact on a product used by millions, we encourage you to apply!
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Lead ML Engineer, Siri AI Quality Engineering
Apple
Lead ML Engineer, Siri AI Quality Engineering
Job Description
Play a part in the next revolution in human-computer interaction and redefine mobile computing through voice interaction! Apple's Siri AI Quality Engineering team is looking for a hard-working and skilled Machine Learning Engineer to join our mission of delivering premier AI experiences to millions of users worldwide. In this role, you will be instrumental in ensuring the highest quality of Siri by developing and deploying innovative ML solutions for automated testing, anomaly detection, and performance analysis. You will work on a diverse set of problems, from predicting potential regressions to crafting intelligent systems that can identify subtle quality issues before they impact users. In this role, you will apply your expertise in ML, data analysis, and software engineering to drive the strategy and execution of large-scale evaluation efforts for Siri’s most sophisticated features. You will collaborate with top engineering, design, and product teams to define quality standards, build automated evaluation pipelines, and deliver insights that guide Siri’s development across iPhone, Mac, iPad, Watch, HomePod, Vision Pro, and more. If you are a self-motivated individual with a strong analytical mind, a keen eye for detail, and a desire to make a significant impact on a product used by millions, we encourage you to apply!
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learningintermediate
- data analysisintermediate
- software engineeringintermediate
- automated testingintermediate
- anomaly detectionintermediate
- performance analysisintermediate
- predicting potential regressionsintermediate
- analytical mindintermediate
- attention to detailintermediate
- collaborationintermediate
Required Qualifications
- 10+ years of proven experience in the relevant space (experience, 10 years)
- 3+ years demonstrated ability in machine learning, including hands-on work with LLMs (experience, 3 years)
- Strong programming skills in Python and experience with ML/NLP libraries (experience)
- Experience building or fine-tuning LLMs for software engineering tasks (experience)
- Understanding of prompt engineering, and retrieval-augmented generation (RAG) (experience)
- Experience developing LLM based automated evaluation frameworks (experience)
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams (experience)
Preferred Qualifications
- Experience in Swift/XCTest/XCUITest is preferred (experience)
- Excellent problem-solving, analytical, and debugging skills (experience)
- Experience working with large-scale datasets, infrastructure, and/or data formats (e.g., JSONL, protobuf) (experience)
- Experience with large-scale data processing (e.g., Spark, Hadoop) is a plus (experience)
- Comfortable working in a fast-paced, collaborative environment with shifting priorities (experience)
Responsibilities
- In this role, you will apply your expertise in ML, data analysis, and software engineering to drive the strategy and execution of large-scale evaluation efforts for Siri’s most sophisticated features. You will collaborate with top engineering, design, and product teams to define quality standards, build automated evaluation pipelines, and deliver insights that guide Siri’s development across iPhone, Mac, iPad, Watch, HomePod, Vision Pro, and more.
- If you are a self-motivated individual with a strong analytical mind, a keen eye for detail, and a desire to make a significant impact on a product used by millions, we encourage you to apply!
Tags & Categories
Answer 10 quick questions to check your fit for Lead ML Engineer, Siri AI Quality Engineering @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs