Address
Form of workSummary
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 applied to NLP, come join the Input Experience NLP team in Software Engineering. Recent announcements at WWDC 2023 for running Transformer models on every keystroke for autocorrection, sentence level correction and inline completions were conceived and built end-to-end on our team."
You will work with a hard-working and dedicated set of outstanding ML and software engineers on a wide range of text generation technologies such as long-form text generation, summarization, question-answering, 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 autocorrection, 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!
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 device with powerful ML.
We are looking for a NLG Research Engineer to innovate and enhance the Input Experience across all Apple platforms. If you are passionate about using pioneering ML for building phenomenal ML/NLP technologies, products and impacting user experience across billions of users, this is the job for you. The role will require you to set new directions, perform hands-on experimentation and implement your vision into deliverables. You will have wide impact across Apple with strong multi-functional collaboration across teams in hardware, software and design. Come join us!
Here are a selection of relevant WWDC presentations focusing on technologies:
https://developer.apple.com/videos/play/wwdc2023/10042/
https://developer.apple.com/videos/play/wwdc2020/10657/ (https://developer.apple.com/videos/play/wwdc2020/10657/)
https://developer.apple.com/videos/play/wwdc2019/232/ (https://developer.apple.com/videos/play/wwdc2019/232/)
https://developer.apple.com/videos/play/wwdc2018/713/ (https://developer.apple.com/videos/play/wwdc2018/713/)
https://developer.apple.com/videos/play/wwdc2017/208/ (https://developer.apple.com/videos/play/wwdc2017/208/)
KEY R&D PROJECTS PRODUCTIZED ON THE TEAM:
Autocorrection
QuickType: Predictive typing
Quickpath: Swipe input
Image captioning
Private Federated Learning for Language Models
Natural Language APIs, NLP in CreateML
Key Qualifications
Exemplary ability to design, perform experiments and influence engineering direction and product roadmap
Hands-on expertise in NLP and machine learning
Experience being part of engineering teams and transferring research ideas to production
Proven record of research innovation and visionary leadership in NLP and ML
Track-record of publications history in credible conferences and journals (optional)
Experience solving analytical problems with quantitative approaches
Description
As a NLG Research Engineer on our team, you will research, design and develop machine learning models as well as tools/pipelines for Input Experience across all Apple platforms. Your role will have a direct impact on shaping the future of input technology roadmap. You will work closely with the engineering teams, perform hands-on experiments applying groundbreaking NLP and ML, derive insights from experiments and convert them into features that reach the hands of billions of users.
Education & Experience
PhD in Computer Science or a related field
OR
MS in Computer Science or related field with at least 5 years of industry experience
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 applied to NLP, come join the Input Experience NLP team in Software Engineering. Recent announcements at WWDC 2023 for running Transformer models on every keystroke for autocorrection, sentence level correction and inline completions were conceived and built end-to-end on our team."
You will work with a hard-working and dedicated set of outstanding ML and software engineers on a wide range of text generation technologies such as long-form text generation, summarization, question-answering, 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 autocorrection, 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!
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 device with powerful ML.
We are looking for a NLG Research Engineer to innovate and enhance the Input Experience across all Apple platforms. If you are passionate about using pioneering ML for building phenomenal ML/NLP technologies, products and impacting user experience across billions of users, this is the job for you. The role will require you to set new directions, perform hands-on experimentation and implement your vision into deliverables. You will have wide impact across Apple with strong multi-functional collaboration across teams in hardware, software and design. Come join us!
Here are a selection of relevant WWDC presentations focusing on technologies:
https://developer.apple.com/videos/play/wwdc2023/10042/
https://developer.apple.com/videos/play/wwdc2020/10657/ (https://developer.apple.com/videos/play/wwdc2020/10657/)
https://developer.apple.com/videos/play/wwdc2019/232/ (https://developer.apple.com/videos/play/wwdc2019/232/)
https://developer.apple.com/videos/play/wwdc2018/713/ (https://developer.apple.com/videos/play/wwdc2018/713/)
https://developer.apple.com/videos/play/wwdc2017/208/ (https://developer.apple.com/videos/play/wwdc2017/208/)
KEY R&D PROJECTS PRODUCTIZED ON THE TEAM:
Autocorrection
QuickType: Predictive typing
Quickpath: Swipe input
Image captioning
Private Federated Learning for Language Models
Natural Language APIs, NLP in CreateML
Key Qualifications
Exemplary ability to design, perform experiments and influence engineering direction and product roadmap
Hands-on expertise in NLP and machine learning
Experience being part of engineering teams and transferring research ideas to production
Proven record of research innovation and visionary leadership in NLP and ML
Track-record of publications history in credible conferences and journals (optional)
Experience solving analytical problems with quantitative approaches
Description
As a NLG Research Engineer on our team, you will research, design and develop machine learning models as well as tools/pipelines for Input Experience across all Apple platforms. Your role will have a direct impact on shaping the future of input technology roadmap. You will work closely with the engineering teams, perform hands-on experiments applying groundbreaking NLP and ML, derive insights from experiments and convert them into features that reach the hands of billions of users.
Education & Experience
PhD in Computer Science or a related field
OR
MS in Computer Science or related field with at least 5 years of industry experience
