Applied Machine Learning Engineer - Customer Feedback
Apple
Applied Machine Learning Engineer - Customer Feedback
Job Description
Join the team responsible for Apple’s Feedback and Beta Programs! Our tools and applications collect user feedback on beta software releases, helping to drive the direction and priorities of Apple’s engineering teams. To make the best use of feedback we receive from customers and developers, we develop and maintain machine learning systems and automated analysis to cluster, annotate, and escalate the millions of reports we receive yearly. We are looking for experienced Machine Learning engineers to deploy and tune both traditional ML and generative AI models to enhance our systems’ capability. There are tantalizing problems and products possible with our one-of-a-kind dataset, and plenty of opportunity for a passionate engineer. Our team is seeking adept machine learning engineers who are excited by creating machine-learning-driven user experiences. Work includes implenting high-performance machine learning models and infrastructure in concert with software engineers, designers, and teams of internal users. You will be responsible for full stack ML development in partnership with others on the team. This includes data generation and curation, creating and influencing ML tooling and infrastructure, driving evaluation efforts, and training or fine-tuning models. You will also be involved in directly integrating ML into internal tools and systems. You will need to rely on your creativity and problem solving to develop scalable, maintainable, and cost-effective solutions. The team values rapid iteration, based on bringing models into reality so stakeholders can play with cutting edge technology and research. To this end you will be engaged with hardware, software, and design teams across Apple; both representing the technology and implementing it into prototypes. You will be successful and feel fulfilled in our team if you enjoy tackling challenging problems, have a strong sense of shared ownership, and thrive in a collaborative team setting.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 60,000,000 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
- generative AIintermediate
- data generationintermediate
- data curationintermediate
- ML toolingintermediate
- ML infrastructureintermediate
- model evaluationintermediate
- model trainingintermediate
- model fine-tuningintermediate
- full stack ML developmentintermediate
- problem solvingintermediate
- creativityintermediate
- rapid iterationintermediate
- collaborative teamworkintermediate
- shared ownershipintermediate
Required Qualifications
- Industry experience with applied machine learning. (experience)
- Industry experience in software engineering, data engineering, or similar. (experience)
- Strong fundamentals in problem solving, algorithm design, and model building (experience)
- Excellent verbal and written communication and presentation skills (experience)
- MS in Computer Science or related experience (experience)
Preferred Qualifications
- Working knowledge of applied Natural Language Processing. (experience)
- Strong hands-on experience in building large scale ML based solutions or in building and scaling distributed systems. (experience)
Responsibilities
- Our team is seeking adept machine learning engineers who are excited by creating machine-learning-driven user experiences. Work includes implenting high-performance machine learning models and infrastructure in concert with software engineers, designers, and teams of internal users.
- You will be responsible for full stack ML development in partnership with others on the team. This includes data generation and curation, creating and influencing ML tooling and infrastructure, driving evaluation efforts, and training or fine-tuning models. You will also be involved in directly integrating ML into internal tools and systems. You will need to rely on your creativity and problem solving to develop scalable, maintainable, and cost-effective solutions.
- The team values rapid iteration, based on bringing models into reality so stakeholders can play with cutting edge technology and research. To this end you will be engaged with hardware, software, and design teams across Apple; both representing the technology and implementing it into prototypes.
- You will be successful and feel fulfilled in our team if you enjoy tackling challenging problems, have a strong sense of shared ownership, and thrive in a collaborative team setting.
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Answer 10 quick questions to check your fit for Applied Machine Learning Engineer - Customer Feedback @ Apple.
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Applied Machine Learning Engineer - Customer Feedback
Apple
Applied Machine Learning Engineer - Customer Feedback
Job Description
Join the team responsible for Apple’s Feedback and Beta Programs! Our tools and applications collect user feedback on beta software releases, helping to drive the direction and priorities of Apple’s engineering teams. To make the best use of feedback we receive from customers and developers, we develop and maintain machine learning systems and automated analysis to cluster, annotate, and escalate the millions of reports we receive yearly. We are looking for experienced Machine Learning engineers to deploy and tune both traditional ML and generative AI models to enhance our systems’ capability. There are tantalizing problems and products possible with our one-of-a-kind dataset, and plenty of opportunity for a passionate engineer. Our team is seeking adept machine learning engineers who are excited by creating machine-learning-driven user experiences. Work includes implenting high-performance machine learning models and infrastructure in concert with software engineers, designers, and teams of internal users. You will be responsible for full stack ML development in partnership with others on the team. This includes data generation and curation, creating and influencing ML tooling and infrastructure, driving evaluation efforts, and training or fine-tuning models. You will also be involved in directly integrating ML into internal tools and systems. You will need to rely on your creativity and problem solving to develop scalable, maintainable, and cost-effective solutions. The team values rapid iteration, based on bringing models into reality so stakeholders can play with cutting edge technology and research. To this end you will be engaged with hardware, software, and design teams across Apple; both representing the technology and implementing it into prototypes. You will be successful and feel fulfilled in our team if you enjoy tackling challenging problems, have a strong sense of shared ownership, and thrive in a collaborative team setting.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 60,000,000 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
- generative AIintermediate
- data generationintermediate
- data curationintermediate
- ML toolingintermediate
- ML infrastructureintermediate
- model evaluationintermediate
- model trainingintermediate
- model fine-tuningintermediate
- full stack ML developmentintermediate
- problem solvingintermediate
- creativityintermediate
- rapid iterationintermediate
- collaborative teamworkintermediate
- shared ownershipintermediate
Required Qualifications
- Industry experience with applied machine learning. (experience)
- Industry experience in software engineering, data engineering, or similar. (experience)
- Strong fundamentals in problem solving, algorithm design, and model building (experience)
- Excellent verbal and written communication and presentation skills (experience)
- MS in Computer Science or related experience (experience)
Preferred Qualifications
- Working knowledge of applied Natural Language Processing. (experience)
- Strong hands-on experience in building large scale ML based solutions or in building and scaling distributed systems. (experience)
Responsibilities
- Our team is seeking adept machine learning engineers who are excited by creating machine-learning-driven user experiences. Work includes implenting high-performance machine learning models and infrastructure in concert with software engineers, designers, and teams of internal users.
- You will be responsible for full stack ML development in partnership with others on the team. This includes data generation and curation, creating and influencing ML tooling and infrastructure, driving evaluation efforts, and training or fine-tuning models. You will also be involved in directly integrating ML into internal tools and systems. You will need to rely on your creativity and problem solving to develop scalable, maintainable, and cost-effective solutions.
- The team values rapid iteration, based on bringing models into reality so stakeholders can play with cutting edge technology and research. To this end you will be engaged with hardware, software, and design teams across Apple; both representing the technology and implementing it into prototypes.
- You will be successful and feel fulfilled in our team if you enjoy tackling challenging problems, have a strong sense of shared ownership, and thrive in a collaborative team setting.
Tags & Categories
Answer 10 quick questions to check your fit for Applied Machine Learning Engineer - Customer Feedback @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs