Senior ML Software Engineer - Apple Watch
Apple
Senior ML Software Engineer - Apple Watch
Job Description
Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! 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 a versatile Machine Learning Software Engineer who is passionate about developing innovative, ML-driven product features that push the boundaries of sensing and human-computer interaction, and who can work across disciplines — from training advanced models to rapid on-device prototyping and full-scale productization. In this hybrid role, you’ll collaborate closely with designers, ML engineers, and software experts to transform ambitious, loosely defined ideas into next-generation sensing experiences that reach millions of Apple Watch users worldwide. Your responsibilities will include: - Develop and optimize ML algorithms leveraging multimodal sensor data — like motion and audio — to detect user activities and contextual situations that enhance our understanding of real-world behavior - Integrate and deploy ML models on-device, building power-efficient frameworks that encapsulate models, interface seamlessly with sensors, and communicate effectively with UX layers - Drive innovation from concept to deployment, ensuring promising research ideas evolve into high-impact, user-facing features - Design and implement tools, analytics, and processes to perform in-depth, hands-on analysis for validating and quantifying algorithm performance both offline and on-device
Locations
- Boulder, Colorado, United States 80304
- Cupertino, California, United States 95014
- San Diego, California, United States 92128
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
- developing ML algorithmsintermediate
- optimizing ML algorithmsintermediate
- leveraging multimodal sensor dataintermediate
- detecting user activitiesintermediate
- integrating ML models on-deviceintermediate
- deploying ML models on-deviceintermediate
- building power-efficient frameworksintermediate
- interfacing with sensorsintermediate
- communicating with UX layersintermediate
- driving innovation from concept to deploymentintermediate
- designing toolsintermediate
- implementing analyticsintermediate
- implementing processesintermediate
- performing in-depth analysisintermediate
- validating algorithm performanceintermediate
- quantifying algorithm performanceintermediate
- machine learningintermediate
- sensing technologiesintermediate
- human-computer interactionintermediate
- on-device prototypingintermediate
- productizationintermediate
- cross-functional collaborationintermediate
- rapid prototypingintermediate
Required Qualifications
- M.S. or Ph.D. in Machine Learning, Computer Science, or a related field (experience)
- Solid knowledge of machine learning methods, statistical analysis, and predictive modeling using time-series data (experience)
- Strong Python skills with experience writing production-quality code and working with deep learning frameworks such as PyTorch or TensorFlow (experience)
- Experience with Swift or Objective-C and developing on Apple platforms (experience)
- Excellent communication and collaboration skills, with ability to work independently or in small teams (experience)
Preferred Qualifications
- Proficient in the full ML development cycle: data collection, model training and optimization, defining metrics, evaluation, performing failure analysis, and model deployment to resource constrained devices (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 a versatile Machine Learning Software Engineer who is passionate about developing innovative, ML-driven product features that push the boundaries of sensing and human-computer interaction, and who can work across disciplines — from training advanced models to rapid on-device prototyping and full-scale productization.
- In this hybrid role, you’ll collaborate closely with designers, ML engineers, and software experts to transform ambitious, loosely defined ideas into next-generation sensing experiences that reach millions of Apple Watch users worldwide. Your responsibilities will include:
- - Develop and optimize ML algorithms leveraging multimodal sensor data — like motion and audio — to detect user activities and contextual situations that enhance our understanding of real-world behavior
- - Integrate and deploy ML models on-device, building power-efficient frameworks that encapsulate models, interface seamlessly with sensors, and communicate effectively with UX layers
- - Drive innovation from concept to deployment, ensuring promising research ideas evolve into high-impact, user-facing features
- - Design and implement tools, analytics, and processes to perform in-depth, hands-on analysis for validating and quantifying algorithm performance both offline and on-device
Tags & Categories
Answer 10 quick questions to check your fit for Senior ML Software Engineer - Apple Watch @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs
Senior ML Software Engineer - Apple Watch
Apple
Senior ML Software Engineer - Apple Watch
Job Description
Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! 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 a versatile Machine Learning Software Engineer who is passionate about developing innovative, ML-driven product features that push the boundaries of sensing and human-computer interaction, and who can work across disciplines — from training advanced models to rapid on-device prototyping and full-scale productization. In this hybrid role, you’ll collaborate closely with designers, ML engineers, and software experts to transform ambitious, loosely defined ideas into next-generation sensing experiences that reach millions of Apple Watch users worldwide. Your responsibilities will include: - Develop and optimize ML algorithms leveraging multimodal sensor data — like motion and audio — to detect user activities and contextual situations that enhance our understanding of real-world behavior - Integrate and deploy ML models on-device, building power-efficient frameworks that encapsulate models, interface seamlessly with sensors, and communicate effectively with UX layers - Drive innovation from concept to deployment, ensuring promising research ideas evolve into high-impact, user-facing features - Design and implement tools, analytics, and processes to perform in-depth, hands-on analysis for validating and quantifying algorithm performance both offline and on-device
Locations
- Boulder, Colorado, United States 80304
- Cupertino, California, United States 95014
- San Diego, California, United States 92128
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
- developing ML algorithmsintermediate
- optimizing ML algorithmsintermediate
- leveraging multimodal sensor dataintermediate
- detecting user activitiesintermediate
- integrating ML models on-deviceintermediate
- deploying ML models on-deviceintermediate
- building power-efficient frameworksintermediate
- interfacing with sensorsintermediate
- communicating with UX layersintermediate
- driving innovation from concept to deploymentintermediate
- designing toolsintermediate
- implementing analyticsintermediate
- implementing processesintermediate
- performing in-depth analysisintermediate
- validating algorithm performanceintermediate
- quantifying algorithm performanceintermediate
- machine learningintermediate
- sensing technologiesintermediate
- human-computer interactionintermediate
- on-device prototypingintermediate
- productizationintermediate
- cross-functional collaborationintermediate
- rapid prototypingintermediate
Required Qualifications
- M.S. or Ph.D. in Machine Learning, Computer Science, or a related field (experience)
- Solid knowledge of machine learning methods, statistical analysis, and predictive modeling using time-series data (experience)
- Strong Python skills with experience writing production-quality code and working with deep learning frameworks such as PyTorch or TensorFlow (experience)
- Experience with Swift or Objective-C and developing on Apple platforms (experience)
- Excellent communication and collaboration skills, with ability to work independently or in small teams (experience)
Preferred Qualifications
- Proficient in the full ML development cycle: data collection, model training and optimization, defining metrics, evaluation, performing failure analysis, and model deployment to resource constrained devices (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 a versatile Machine Learning Software Engineer who is passionate about developing innovative, ML-driven product features that push the boundaries of sensing and human-computer interaction, and who can work across disciplines — from training advanced models to rapid on-device prototyping and full-scale productization.
- In this hybrid role, you’ll collaborate closely with designers, ML engineers, and software experts to transform ambitious, loosely defined ideas into next-generation sensing experiences that reach millions of Apple Watch users worldwide. Your responsibilities will include:
- - Develop and optimize ML algorithms leveraging multimodal sensor data — like motion and audio — to detect user activities and contextual situations that enhance our understanding of real-world behavior
- - Integrate and deploy ML models on-device, building power-efficient frameworks that encapsulate models, interface seamlessly with sensors, and communicate effectively with UX layers
- - Drive innovation from concept to deployment, ensuring promising research ideas evolve into high-impact, user-facing features
- - Design and implement tools, analytics, and processes to perform in-depth, hands-on analysis for validating and quantifying algorithm performance both offline and on-device
Tags & Categories
Answer 10 quick questions to check your fit for Senior ML Software Engineer - Apple Watch @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs