Machine Learning Engineer, Automatic Speech Recognition, Siri Speech
Apple
Machine Learning Engineer, Automatic Speech Recognition, Siri Speech
Job Description
We are looking for engineers passionate about using machine learning to build and maintain multiple machine learning products that power Siri. In this highly accomplished, deeply technical, and close-knit team of machine learning specialists, software engineers, and infrastructure experts, you will build products that are used by millions of people. You will have the opportunity to contribute to exciting projects around Apple and use your data science, machine learning, and analytical skills to tackle challenging technical problems and ship novel products that will delight our customers! Join a critical team at the heart of speech model development. Our team is responsible for creating the high-quality, large-scale datasets that power Apple's next-generation speech models. We specialize in the automatic annotation and extraction of rich metadata from vast audio datasets, enabling groundbreaking advancements in speech understanding and generation. We are a data-driven team that combines machine learning, data science, and efficient engineering to solve complex challenges at petabyte scale. As a member of this team, you will design, build, and refine the systems that turn raw audio into structured, insight-rich data for our modeling partners. You will not only develop the pipelines but also analyze the data's quality and impact, and improve the specialist models that make our automatic annotation possible. Your work is foundational, directly influencing the performance and capabilities of state-of-the-art speech technologies. You should be enthusiastic about building robust, efficient, and intelligent data solutions.
Locations
- Cambridge, Massachusetts, United States 02139
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 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 scienceintermediate
- analytical skillsintermediate
- software engineeringintermediate
- infrastructure expertiseintermediate
- automatic annotationintermediate
- metadata extractionintermediate
- audio dataset processingintermediate
- data pipeline developmentintermediate
- data quality analysisintermediate
- model refinementintermediate
- efficient engineeringintermediate
- petabyte-scale data handlingintermediate
Required Qualifications
- Bachelors, Masters or Ph.D in Computer Science or Engineering or a related field, or equivalent experience (experience)
- 5+ years of experience in machine learning with focus on automatic speech recognition (experience, 5 years)
- Proficiency in Python and SQL (experience)
- Strong problem-solving and data analytical skills (experience)
Preferred Qualifications
- Have contributed to shipping models/products to production (experience)
- Experience with foundation models (experience)
- Experience with large scale data processing (e.g., Spark, Dask, Ray) and a mindset for writing efficient, scalable code (experience)
- Understanding of machine learning fundamentals and practical experience with ML frameworks (e.g., PyTorch, TensorFlow). (experience)
Responsibilities
- Join a critical team at the heart of speech model development. Our team is responsible for creating the high-quality, large-scale datasets that power Apple's next-generation speech models. We specialize in the automatic annotation and extraction of rich metadata from vast audio datasets, enabling groundbreaking advancements in speech understanding and generation. We are a data-driven team that combines machine learning, data science, and efficient engineering to solve complex challenges at petabyte scale.
- As a member of this team, you will design, build, and refine the systems that turn raw audio into structured, insight-rich data for our modeling partners. You will not only develop the pipelines but also analyze the data's quality and impact, and improve the specialist models that make our automatic annotation possible. Your work is foundational, directly influencing the performance and capabilities of state-of-the-art speech technologies. You should be enthusiastic about building robust, efficient, and intelligent data solutions.
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Machine Learning Engineer, Automatic Speech Recognition, Siri Speech
Apple
Machine Learning Engineer, Automatic Speech Recognition, Siri Speech
Job Description
We are looking for engineers passionate about using machine learning to build and maintain multiple machine learning products that power Siri. In this highly accomplished, deeply technical, and close-knit team of machine learning specialists, software engineers, and infrastructure experts, you will build products that are used by millions of people. You will have the opportunity to contribute to exciting projects around Apple and use your data science, machine learning, and analytical skills to tackle challenging technical problems and ship novel products that will delight our customers! Join a critical team at the heart of speech model development. Our team is responsible for creating the high-quality, large-scale datasets that power Apple's next-generation speech models. We specialize in the automatic annotation and extraction of rich metadata from vast audio datasets, enabling groundbreaking advancements in speech understanding and generation. We are a data-driven team that combines machine learning, data science, and efficient engineering to solve complex challenges at petabyte scale. As a member of this team, you will design, build, and refine the systems that turn raw audio into structured, insight-rich data for our modeling partners. You will not only develop the pipelines but also analyze the data's quality and impact, and improve the specialist models that make our automatic annotation possible. Your work is foundational, directly influencing the performance and capabilities of state-of-the-art speech technologies. You should be enthusiastic about building robust, efficient, and intelligent data solutions.
Locations
- Cambridge, Massachusetts, United States 02139
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 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 scienceintermediate
- analytical skillsintermediate
- software engineeringintermediate
- infrastructure expertiseintermediate
- automatic annotationintermediate
- metadata extractionintermediate
- audio dataset processingintermediate
- data pipeline developmentintermediate
- data quality analysisintermediate
- model refinementintermediate
- efficient engineeringintermediate
- petabyte-scale data handlingintermediate
Required Qualifications
- Bachelors, Masters or Ph.D in Computer Science or Engineering or a related field, or equivalent experience (experience)
- 5+ years of experience in machine learning with focus on automatic speech recognition (experience, 5 years)
- Proficiency in Python and SQL (experience)
- Strong problem-solving and data analytical skills (experience)
Preferred Qualifications
- Have contributed to shipping models/products to production (experience)
- Experience with foundation models (experience)
- Experience with large scale data processing (e.g., Spark, Dask, Ray) and a mindset for writing efficient, scalable code (experience)
- Understanding of machine learning fundamentals and practical experience with ML frameworks (e.g., PyTorch, TensorFlow). (experience)
Responsibilities
- Join a critical team at the heart of speech model development. Our team is responsible for creating the high-quality, large-scale datasets that power Apple's next-generation speech models. We specialize in the automatic annotation and extraction of rich metadata from vast audio datasets, enabling groundbreaking advancements in speech understanding and generation. We are a data-driven team that combines machine learning, data science, and efficient engineering to solve complex challenges at petabyte scale.
- As a member of this team, you will design, build, and refine the systems that turn raw audio into structured, insight-rich data for our modeling partners. You will not only develop the pipelines but also analyze the data's quality and impact, and improve the specialist models that make our automatic annotation possible. Your work is foundational, directly influencing the performance and capabilities of state-of-the-art speech technologies. You should be enthusiastic about building robust, efficient, and intelligent data solutions.
Tags & Categories
Answer 10 quick questions to check your fit for Machine Learning Engineer, Automatic Speech Recognition, Siri Speech @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs