Machine Learning Research Engineer, Text Generation
Apple
Machine Learning Research Engineer, Text Generation
Job Description
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build or service we create, we deliver is the result of us making each other’s ideas stronger. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. Text generation is a key enabler for accelerated text input and intelligent interaction on Apple platforms. Our team is working on redefining user interaction with generative models for text generation. If you want to be part of an ambitious, organized and collaborative team that ships user experiences with pioneering ML, partnered with the best UI designs, come join the Input Experience NLP team. Our work has been highlighted in multiple WWDC keynotes including Intelligent Input in 2023, Writing Tools and Smart Reply in 2024! We exemplify Apple’s outstanding integration of hardware and software to create seamless input experiences. You will have the opportunity to go from building offline pioneering NLP models to optimization of the models for different hardware backends and user interfaces that make the experience magical. Our vision always includes a deep dedication to strengthening Apple’s privacy policy by achieving all of the above on devicewith powerful ML. As a key pillar of Apple Intelligence, input experience will be the main area where you bring impact to billions of users with your ML expertise, engineering passion, and programming skills. You will work with a hard-working and dedicated set of outstanding ML and software engineers on a wide range of most advanced text generation technologies such as context-augmented text rewriting, safety-controlled text composition, free-form text transformation, personalized smart interactions, etc. Our team has been working in this area for years and own the NLP and ML text input stack for the keyboard input that includes auto correction, predictive typing on all Apple platforms. We also work on full stack ML applied to NLP and expose these key technologies across Apple on device and also to third party applications through the Natural-Language framework. If you want to amplify your strong ML and NLP skills into user experiences that will reach every person around you, this is the perfect opportunity!
Locations
- Cupertino, California, United States 95014
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
- text generationintermediate
- generative modelsintermediate
- NLPintermediate
- MLintermediate
- UI designsintermediate
- building NLP modelsintermediate
- optimization of modelsintermediate
- programming skillsintermediate
- ML expertiseintermediate
- engineering passionintermediate
- context-augmented text rewritingintermediate
- safety-controlled text compositionintermediate
- free-form text transformationintermediate
- personalized smart interactionsintermediate
- auto correctionintermediate
- predictive typingintermediate
- full stack MLintermediate
- Natural-Language frameworkintermediate
Required Qualifications
- Strong machine learning fundamentals (experience)
- Knowledge of ML techniques such as implementing basic optimizers, applying parameter tuning in model training and evaluation, and reproducing research experiments (experience)
- Strong programming and communication skills (experience)
- Ph. D. in CS/EE/Physics/Statistics/etc. (or Masters with 4 years of proven experience) (experience, 4 years)
Preferred Qualifications
- Familiar with model compression algorithms including quantization, pruning, distillations, and experience onoptimizinglarge diffusion models or language models (experience)
- Experience with hardware architecture, software & hardware co-design (experience)
- Experience with deploying large ML models in real world products (experience)
- Actively programming with high-quality codes across complex and large repositories (experience)
- Familiar with common NLP algorithms and applications, including tokenization, language modeling, text decoding, text classifier etc (experience)
- Experience of multi-modal modeling, presenting plans, progress, and results or demos regularly and concisely (experience)
Responsibilities
- As a key pillar of Apple Intelligence, input experience will be the main area where you bring impact to billions of users with your ML expertise, engineering passion, and programming skills. You will work with a hard-working and dedicated set of outstanding ML and software engineers on a wide range of most advanced text generation technologies such as context-augmented text rewriting, safety-controlled text composition, free-form text transformation, personalized smart interactions, etc. Our team has been working in this area for years and own the NLP and ML text input stack for the keyboard input that includes auto correction, predictive typing on all Apple platforms. We also work on full stack ML applied to NLP and expose these key technologies across Apple on device and also to third party applications through the Natural-Language framework. If you want to amplify your strong ML and NLP skills into user experiences that will reach every person around you, this is the perfect opportunity!
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Machine Learning Research Engineer, Text Generation
Apple
Machine Learning Research Engineer, Text Generation
Job Description
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build or service we create, we deliver is the result of us making each other’s ideas stronger. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. Text generation is a key enabler for accelerated text input and intelligent interaction on Apple platforms. Our team is working on redefining user interaction with generative models for text generation. If you want to be part of an ambitious, organized and collaborative team that ships user experiences with pioneering ML, partnered with the best UI designs, come join the Input Experience NLP team. Our work has been highlighted in multiple WWDC keynotes including Intelligent Input in 2023, Writing Tools and Smart Reply in 2024! We exemplify Apple’s outstanding integration of hardware and software to create seamless input experiences. You will have the opportunity to go from building offline pioneering NLP models to optimization of the models for different hardware backends and user interfaces that make the experience magical. Our vision always includes a deep dedication to strengthening Apple’s privacy policy by achieving all of the above on devicewith powerful ML. As a key pillar of Apple Intelligence, input experience will be the main area where you bring impact to billions of users with your ML expertise, engineering passion, and programming skills. You will work with a hard-working and dedicated set of outstanding ML and software engineers on a wide range of most advanced text generation technologies such as context-augmented text rewriting, safety-controlled text composition, free-form text transformation, personalized smart interactions, etc. Our team has been working in this area for years and own the NLP and ML text input stack for the keyboard input that includes auto correction, predictive typing on all Apple platforms. We also work on full stack ML applied to NLP and expose these key technologies across Apple on device and also to third party applications through the Natural-Language framework. If you want to amplify your strong ML and NLP skills into user experiences that will reach every person around you, this is the perfect opportunity!
Locations
- Cupertino, California, United States 95014
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
- text generationintermediate
- generative modelsintermediate
- NLPintermediate
- MLintermediate
- UI designsintermediate
- building NLP modelsintermediate
- optimization of modelsintermediate
- programming skillsintermediate
- ML expertiseintermediate
- engineering passionintermediate
- context-augmented text rewritingintermediate
- safety-controlled text compositionintermediate
- free-form text transformationintermediate
- personalized smart interactionsintermediate
- auto correctionintermediate
- predictive typingintermediate
- full stack MLintermediate
- Natural-Language frameworkintermediate
Required Qualifications
- Strong machine learning fundamentals (experience)
- Knowledge of ML techniques such as implementing basic optimizers, applying parameter tuning in model training and evaluation, and reproducing research experiments (experience)
- Strong programming and communication skills (experience)
- Ph. D. in CS/EE/Physics/Statistics/etc. (or Masters with 4 years of proven experience) (experience, 4 years)
Preferred Qualifications
- Familiar with model compression algorithms including quantization, pruning, distillations, and experience onoptimizinglarge diffusion models or language models (experience)
- Experience with hardware architecture, software & hardware co-design (experience)
- Experience with deploying large ML models in real world products (experience)
- Actively programming with high-quality codes across complex and large repositories (experience)
- Familiar with common NLP algorithms and applications, including tokenization, language modeling, text decoding, text classifier etc (experience)
- Experience of multi-modal modeling, presenting plans, progress, and results or demos regularly and concisely (experience)
Responsibilities
- As a key pillar of Apple Intelligence, input experience will be the main area where you bring impact to billions of users with your ML expertise, engineering passion, and programming skills. You will work with a hard-working and dedicated set of outstanding ML and software engineers on a wide range of most advanced text generation technologies such as context-augmented text rewriting, safety-controlled text composition, free-form text transformation, personalized smart interactions, etc. Our team has been working in this area for years and own the NLP and ML text input stack for the keyboard input that includes auto correction, predictive typing on all Apple platforms. We also work on full stack ML applied to NLP and expose these key technologies across Apple on device and also to third party applications through the Natural-Language framework. If you want to amplify your strong ML and NLP skills into user experiences that will reach every person around you, this is the perfect opportunity!
Tags & Categories
Answer 10 quick questions to check your fit for Machine Learning Research Engineer, Text Generation @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs