Senior Machine Learning Engineer - Apple Watch
Apple
Senior Machine Learning Engineer - Apple Watch
Job Description
Imagine what you could do here at Apple. Innovation runs through everything we do, from amazing technology to industry-leading environmental efforts, and the diversity of people and ideas makes it possible. Join Apple, and help us leave the world better than we found it. Our team is working toward a future where our devices are aware of us and our environment, they directly support our health and wellbeing, and they nudge us to be more thoughtful, present, and inspired human beings. We believe there is huge opportunity to improve lives and the world by understanding people, our activities, connections, and the environments we live in using sensing and machine learning on our devices. Our team works with cross-functional partners across Apple to create high-impact features and new ways to interact on Apple Watch, home products, and new hardware. We prototype new experiences, develop and ship products, and publish our work. We are a creative, multi-disciplinary, optimistic, and collaborative team. Come join us and build the future! The team you will join is responsible for creating the technologies that power new, innovative product features for Apple Watch, like DoubleTap, AssistiveTouch, Handwashing, and Raise to Speak. We are highly collaborative and partner with a variety of research and product teams across Apple to explore novel experiences and ship features. We are looking for an experienced ML engineer who is passionate about developing innovative product features that push the boundaries of sensing, machine learning, and human-computer interaction. You will work closely with designers, machine learning engineers, and software experts to turn vague, ambitious ideas into the next generation of sensing experiences for millions of Apple Watch users. Your responsibilities will include: - Lead architectural discussions, evangelize our values, and collaborate with partner teams to align on product goals - Develop models and tools to improve the capabilities of systems that use machine learning - Transfer cutting edge research in predictive modeling to production-ready technologies
Locations
- Cupertino, California, United States 95014
- San Diego, California, United States 92128
- Seattle, Washington, United States 98117
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
- sensingintermediate
- human-computer interactionintermediate
- architectural discussionsintermediate
- evangelize valuesintermediate
- collaborationintermediate
- develop modelsintermediate
- develop toolsintermediate
- predictive modelingintermediate
- research transfer to productionintermediate
Required Qualifications
- M.S. or Ph.D. in Machine Learning, Computer Science, or a related field; additional background in Human-Computer Interaction (HCI) is a plus (experience)
- Strong Python skills with experience writing production-quality code and working with deep learning frameworks such as PyTorch or TensorFlow (experience)
- Hands-on experience developing predictive models using time-series and multimodal sensor data to ship ML-based features and products (experience)
- Proficient in the full ML development cycle: data collection, model training and optimization, defining metrics, performing failure analysis, and model deployment to resource constrained devices (experience)
- Exceptional communication, collaboration, and leadership skills, with a proven ability to operate as a tech lead and work effectively with many diverse cross-functional teams and stakeholders (experience)
Preferred Qualifications
- Proven ability to design and build scalable modeling pipelines for data processing, training, and evaluation (experience)
- Experience with advanced learning paradigms such as federated, zero-shot, and few-shot learning (experience)
- Experience with signal processing techniques for ML applications (experience)
- Familiarity with Swift or Objective-C and Apple developer SDKs (experience)
Responsibilities
- The team you will join is responsible for creating the technologies that power new, innovative product features for Apple Watch, like DoubleTap, AssistiveTouch, Handwashing, and Raise to Speak. We are highly collaborative and partner with a variety of research and product teams across Apple to explore novel experiences and ship features.
- We are looking for an experienced ML engineer who is passionate about developing innovative product features that push the boundaries of sensing, machine learning, and human-computer interaction. You will work closely with designers, machine learning engineers, and software experts to turn vague, ambitious ideas into the next generation of sensing experiences for millions of Apple Watch users. Your responsibilities will include:
- - Lead architectural discussions, evangelize our values, and collaborate with partner teams to align on product goals
- - Develop models and tools to improve the capabilities of systems that use machine learning
- - Transfer cutting edge research in predictive modeling to production-ready technologies
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Answer 10 quick questions to check your fit for Senior Machine Learning Engineer - Apple Watch @ Apple.
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Senior Machine Learning Engineer - Apple Watch
Apple
Senior Machine Learning Engineer - Apple Watch
Job Description
Imagine what you could do here at Apple. Innovation runs through everything we do, from amazing technology to industry-leading environmental efforts, and the diversity of people and ideas makes it possible. Join Apple, and help us leave the world better than we found it. Our team is working toward a future where our devices are aware of us and our environment, they directly support our health and wellbeing, and they nudge us to be more thoughtful, present, and inspired human beings. We believe there is huge opportunity to improve lives and the world by understanding people, our activities, connections, and the environments we live in using sensing and machine learning on our devices. Our team works with cross-functional partners across Apple to create high-impact features and new ways to interact on Apple Watch, home products, and new hardware. We prototype new experiences, develop and ship products, and publish our work. We are a creative, multi-disciplinary, optimistic, and collaborative team. Come join us and build the future! The team you will join is responsible for creating the technologies that power new, innovative product features for Apple Watch, like DoubleTap, AssistiveTouch, Handwashing, and Raise to Speak. We are highly collaborative and partner with a variety of research and product teams across Apple to explore novel experiences and ship features. We are looking for an experienced ML engineer who is passionate about developing innovative product features that push the boundaries of sensing, machine learning, and human-computer interaction. You will work closely with designers, machine learning engineers, and software experts to turn vague, ambitious ideas into the next generation of sensing experiences for millions of Apple Watch users. Your responsibilities will include: - Lead architectural discussions, evangelize our values, and collaborate with partner teams to align on product goals - Develop models and tools to improve the capabilities of systems that use machine learning - Transfer cutting edge research in predictive modeling to production-ready technologies
Locations
- Cupertino, California, United States 95014
- San Diego, California, United States 92128
- Seattle, Washington, United States 98117
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
- sensingintermediate
- human-computer interactionintermediate
- architectural discussionsintermediate
- evangelize valuesintermediate
- collaborationintermediate
- develop modelsintermediate
- develop toolsintermediate
- predictive modelingintermediate
- research transfer to productionintermediate
Required Qualifications
- M.S. or Ph.D. in Machine Learning, Computer Science, or a related field; additional background in Human-Computer Interaction (HCI) is a plus (experience)
- Strong Python skills with experience writing production-quality code and working with deep learning frameworks such as PyTorch or TensorFlow (experience)
- Hands-on experience developing predictive models using time-series and multimodal sensor data to ship ML-based features and products (experience)
- Proficient in the full ML development cycle: data collection, model training and optimization, defining metrics, performing failure analysis, and model deployment to resource constrained devices (experience)
- Exceptional communication, collaboration, and leadership skills, with a proven ability to operate as a tech lead and work effectively with many diverse cross-functional teams and stakeholders (experience)
Preferred Qualifications
- Proven ability to design and build scalable modeling pipelines for data processing, training, and evaluation (experience)
- Experience with advanced learning paradigms such as federated, zero-shot, and few-shot learning (experience)
- Experience with signal processing techniques for ML applications (experience)
- Familiarity with Swift or Objective-C and Apple developer SDKs (experience)
Responsibilities
- The team you will join is responsible for creating the technologies that power new, innovative product features for Apple Watch, like DoubleTap, AssistiveTouch, Handwashing, and Raise to Speak. We are highly collaborative and partner with a variety of research and product teams across Apple to explore novel experiences and ship features.
- We are looking for an experienced ML engineer who is passionate about developing innovative product features that push the boundaries of sensing, machine learning, and human-computer interaction. You will work closely with designers, machine learning engineers, and software experts to turn vague, ambitious ideas into the next generation of sensing experiences for millions of Apple Watch users. Your responsibilities will include:
- - Lead architectural discussions, evangelize our values, and collaborate with partner teams to align on product goals
- - Develop models and tools to improve the capabilities of systems that use machine learning
- - Transfer cutting edge research in predictive modeling to production-ready technologies
Tags & Categories
Answer 10 quick questions to check your fit for Senior Machine Learning Engineer - Apple Watch @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs