Sr. Machine Learning Engineer, ASR Infrastructure and Tools, Siri Speech
Apple
Sr. Machine Learning Engineer, ASR Infrastructure and Tools, Siri Speech
Job Description
Want to join the team pushing the boundaries of AI and building an intelligent assistant that helps millions of people get things done? Join the Siri team at Apple. To build the best speech recognition models, we need to use the latest technology in distributed training and the best available data. We combine those needs into one team and are focused on blurring the lines between traditional “data processing” and “model training”. Efficiently training on petabytes of audio data pushes us to consider the entire training stack while developing new models to extract useful signals from unprecedented volumes of data. By joining our team, you’ll have the opportunity to work with large and diverse datasets, iterate with research and production teams, and deliver voice based experiences to millions of users worldwide. The Siri Speech team is looking for exceptional individuals to extend the core technology that let Siri understand, learn, and remember. You will be part of a cross-functional team consisting of software engineers as well as data and machine learning engineers/scientists and having a large impact on the Siri product. This is a rare opportunity to apply distributed data engineering techniques at the intersection of various areas such as speech recognition, natural language processing, and dialogue management. In this role you will - Work with open source tools like PySpark, Jax, Ray and others - Optimize how to move multi-modal data from various sources into complex model training pipelines - Use open source models to extract signals from large volumes of speech data to drive modeling improvements
Locations
- Cambridge, Massachusetts, United States 02139
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
- distributed trainingintermediate
- data processingintermediate
- model trainingintermediate
- working with large datasetsintermediate
- speech recognitionintermediate
- natural language processingintermediate
- dialogue managementintermediate
- distributed data engineeringintermediate
- PySparkintermediate
- Jaxintermediate
- Rayintermediate
- optimizing data pipelinesintermediate
- multi-modal data handlingintermediate
- using open source modelsintermediate
- signal extraction from speech dataintermediate
Required Qualifications
- Experience processing large, complex, unstructured data (experience)
- Knowledge of distributed data processing frameworks (Beam, Spark, Dask, Ray) (experience)
- Strong software engineering skills (experience)
Preferred Qualifications
- M.S. or Ph.D. degree in Computer Science, or equivalent experience (experience)
- Machine Learning experience a plus (experience)
- Speech understanding or generation experience a plus (experience)
- Strong data engineering background in speech and/or language/text/dialogue processing field (experience)
- Strong software engineering abilities, ideally Python (experience)
- Strong interpersonal skills to work well with engineering teams (experience)
- Excellent problem solving and critical thinking (experience)
- Ability to work in a fast-paced environment with rapidly changing priorities (experience)
- Passionate about building extraordinary products and experiences for our users (experience)
Responsibilities
- The Siri Speech team is looking for exceptional individuals to extend the core technology that let Siri understand, learn, and remember. You will be part of a cross-functional team consisting of software engineers as well as data and machine learning engineers/scientists and having a large impact on the Siri product. This is a rare opportunity to apply distributed data engineering techniques at the intersection of various areas such as speech recognition, natural language processing, and dialogue management.
- In this role you will
- - Work with open source tools like PySpark, Jax, Ray and others
- - Optimize how to move multi-modal data from various sources into complex model training pipelines
- - Use open source models to extract signals from large volumes of speech data to drive modeling improvements
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Answer 10 quick questions to check your fit for Sr. Machine Learning Engineer, ASR Infrastructure and Tools, Siri Speech @ Apple.
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Sr. Machine Learning Engineer, ASR Infrastructure and Tools, Siri Speech
Apple
Sr. Machine Learning Engineer, ASR Infrastructure and Tools, Siri Speech
Job Description
Want to join the team pushing the boundaries of AI and building an intelligent assistant that helps millions of people get things done? Join the Siri team at Apple. To build the best speech recognition models, we need to use the latest technology in distributed training and the best available data. We combine those needs into one team and are focused on blurring the lines between traditional “data processing” and “model training”. Efficiently training on petabytes of audio data pushes us to consider the entire training stack while developing new models to extract useful signals from unprecedented volumes of data. By joining our team, you’ll have the opportunity to work with large and diverse datasets, iterate with research and production teams, and deliver voice based experiences to millions of users worldwide. The Siri Speech team is looking for exceptional individuals to extend the core technology that let Siri understand, learn, and remember. You will be part of a cross-functional team consisting of software engineers as well as data and machine learning engineers/scientists and having a large impact on the Siri product. This is a rare opportunity to apply distributed data engineering techniques at the intersection of various areas such as speech recognition, natural language processing, and dialogue management. In this role you will - Work with open source tools like PySpark, Jax, Ray and others - Optimize how to move multi-modal data from various sources into complex model training pipelines - Use open source models to extract signals from large volumes of speech data to drive modeling improvements
Locations
- Cambridge, Massachusetts, United States 02139
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
- distributed trainingintermediate
- data processingintermediate
- model trainingintermediate
- working with large datasetsintermediate
- speech recognitionintermediate
- natural language processingintermediate
- dialogue managementintermediate
- distributed data engineeringintermediate
- PySparkintermediate
- Jaxintermediate
- Rayintermediate
- optimizing data pipelinesintermediate
- multi-modal data handlingintermediate
- using open source modelsintermediate
- signal extraction from speech dataintermediate
Required Qualifications
- Experience processing large, complex, unstructured data (experience)
- Knowledge of distributed data processing frameworks (Beam, Spark, Dask, Ray) (experience)
- Strong software engineering skills (experience)
Preferred Qualifications
- M.S. or Ph.D. degree in Computer Science, or equivalent experience (experience)
- Machine Learning experience a plus (experience)
- Speech understanding or generation experience a plus (experience)
- Strong data engineering background in speech and/or language/text/dialogue processing field (experience)
- Strong software engineering abilities, ideally Python (experience)
- Strong interpersonal skills to work well with engineering teams (experience)
- Excellent problem solving and critical thinking (experience)
- Ability to work in a fast-paced environment with rapidly changing priorities (experience)
- Passionate about building extraordinary products and experiences for our users (experience)
Responsibilities
- The Siri Speech team is looking for exceptional individuals to extend the core technology that let Siri understand, learn, and remember. You will be part of a cross-functional team consisting of software engineers as well as data and machine learning engineers/scientists and having a large impact on the Siri product. This is a rare opportunity to apply distributed data engineering techniques at the intersection of various areas such as speech recognition, natural language processing, and dialogue management.
- In this role you will
- - Work with open source tools like PySpark, Jax, Ray and others
- - Optimize how to move multi-modal data from various sources into complex model training pipelines
- - Use open source models to extract signals from large volumes of speech data to drive modeling improvements
Tags & Categories
Answer 10 quick questions to check your fit for Sr. Machine Learning Engineer, ASR Infrastructure and Tools, Siri Speech @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs