Senior Machine Learning Engineer — Machine Learning Innovation
Apple
Senior Machine Learning Engineer — Machine Learning Innovation
Job Description
Join an elite R&D team at Apple that is shaping the future of Machine Learning. We incubate breakthrough ideas, push the state of the art, and turn them into products that surprise and delight millions of customers worldwide. Our work spans cutting-edge algorithms, adaptive ML based systems, and new modalities—and directly influences the next generation of Apple devices and experiences. We are seeking a Senior Machine Learning Engineer to help pioneer new technologies and bring them to life in entirely new product categories and form factors. If you thrive at the intersection of science, engineering, and product impact, this is your chance to make a visible mark at scale. As a member of our R&D team, you’ll contribute to high-impact projects that advance ML research and directly shape Apple’s future products. You will work across disciplines—from hardware to human interaction—tackling the riskiest problems and transforming bold ideas into reality. In this role, you will: • Develop and optimize adaptive ML algorithms that anticipate user needs and adapt to behavior in multi-tenant, multi-owner environments. • Collaborate with cross-functional partners (hardware, UX, human interaction) to invent and prototype features for entirely new form factors and user experiences. • Integrate ML models into a complex, multi-sensor, multi-modality product stack. • Design tools, analytics, and processes to perform deep, hands-on analysis and answer challenging technical questions. • Drive innovation from incubation to deployment, ensuring ideas make the leap from research into Apple products.
Locations
- Cupertino, California, United States 95014
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
- Machine Learningintermediate
- developing adaptive ML algorithmsintermediate
- optimizing adaptive ML algorithmsintermediate
- collaborating with cross-functional partnersintermediate
- inventing featuresintermediate
- prototyping featuresintermediate
- integrating ML modelsintermediate
- designing toolsintermediate
- designing analyticsintermediate
- designing processesintermediate
- performing deep analysisintermediate
- driving innovationintermediate
- ML researchintermediate
- hardware integrationintermediate
- UX designintermediate
- human interaction designintermediate
- multi-sensor systemsintermediate
- multi-modality systemsintermediate
- product stack integrationintermediate
Required Qualifications
- MS in Computer Science or related field with 4+ years of industry experience. (experience, 4 years)
- Solid knowledge of Machine Learning methods, statistical analysis, and reinforcement learning. (experience)
- Strong programming skills in C++, Python, and on-device stacks. (experience)
- Excellent communication and collaboration skills, with ability to work independently or in small teams. (experience)
- Detail-oriented, with a focus on accuracy and quality. (experience)
Preferred Qualifications
- Ph.D. in Computer Science or related field with 7+ years of experience. (experience, 7 years)
- Expertise in machine learning, automated planning, and decision theory. (experience)
- Strong mathematical foundations in algorithms and statistics. (experience)
- Proven experience with Generative AI and Large Language Models (prompt engineering, fine-tuning, etc.). (experience)
- Prior experience building consumer-facing products is highly valued (experience)
Responsibilities
- As a member of our R&D team, you’ll contribute to high-impact projects that advance ML research and directly shape Apple’s future products. You will work across disciplines—from hardware to human interaction—tackling the riskiest problems and transforming bold ideas into reality.
- In this role, you will:
- *Develop and optimize adaptive ML algorithms that anticipate user needs and adapt to behavior in multi-tenant, multi-owner environments.
- *Collaborate with cross-functional partners (hardware, UX, human interaction) to invent and prototype features for entirely new form factors and user experiences.
- *Integrate ML models into a complex, multi-sensor, multi-modality product stack.
- *Design tools, analytics, and processes to perform deep, hands-on analysis and answer challenging technical questions.
- *Drive innovation from incubation to deployment, ensuring ideas make the leap from research into Apple products.
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Answer 10 quick questions to check your fit for Senior Machine Learning Engineer — Machine Learning Innovation @ Apple.
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Senior Machine Learning Engineer — Machine Learning Innovation
Apple
Senior Machine Learning Engineer — Machine Learning Innovation
Job Description
Join an elite R&D team at Apple that is shaping the future of Machine Learning. We incubate breakthrough ideas, push the state of the art, and turn them into products that surprise and delight millions of customers worldwide. Our work spans cutting-edge algorithms, adaptive ML based systems, and new modalities—and directly influences the next generation of Apple devices and experiences. We are seeking a Senior Machine Learning Engineer to help pioneer new technologies and bring them to life in entirely new product categories and form factors. If you thrive at the intersection of science, engineering, and product impact, this is your chance to make a visible mark at scale. As a member of our R&D team, you’ll contribute to high-impact projects that advance ML research and directly shape Apple’s future products. You will work across disciplines—from hardware to human interaction—tackling the riskiest problems and transforming bold ideas into reality. In this role, you will: • Develop and optimize adaptive ML algorithms that anticipate user needs and adapt to behavior in multi-tenant, multi-owner environments. • Collaborate with cross-functional partners (hardware, UX, human interaction) to invent and prototype features for entirely new form factors and user experiences. • Integrate ML models into a complex, multi-sensor, multi-modality product stack. • Design tools, analytics, and processes to perform deep, hands-on analysis and answer challenging technical questions. • Drive innovation from incubation to deployment, ensuring ideas make the leap from research into Apple products.
Locations
- Cupertino, California, United States 95014
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
- Machine Learningintermediate
- developing adaptive ML algorithmsintermediate
- optimizing adaptive ML algorithmsintermediate
- collaborating with cross-functional partnersintermediate
- inventing featuresintermediate
- prototyping featuresintermediate
- integrating ML modelsintermediate
- designing toolsintermediate
- designing analyticsintermediate
- designing processesintermediate
- performing deep analysisintermediate
- driving innovationintermediate
- ML researchintermediate
- hardware integrationintermediate
- UX designintermediate
- human interaction designintermediate
- multi-sensor systemsintermediate
- multi-modality systemsintermediate
- product stack integrationintermediate
Required Qualifications
- MS in Computer Science or related field with 4+ years of industry experience. (experience, 4 years)
- Solid knowledge of Machine Learning methods, statistical analysis, and reinforcement learning. (experience)
- Strong programming skills in C++, Python, and on-device stacks. (experience)
- Excellent communication and collaboration skills, with ability to work independently or in small teams. (experience)
- Detail-oriented, with a focus on accuracy and quality. (experience)
Preferred Qualifications
- Ph.D. in Computer Science or related field with 7+ years of experience. (experience, 7 years)
- Expertise in machine learning, automated planning, and decision theory. (experience)
- Strong mathematical foundations in algorithms and statistics. (experience)
- Proven experience with Generative AI and Large Language Models (prompt engineering, fine-tuning, etc.). (experience)
- Prior experience building consumer-facing products is highly valued (experience)
Responsibilities
- As a member of our R&D team, you’ll contribute to high-impact projects that advance ML research and directly shape Apple’s future products. You will work across disciplines—from hardware to human interaction—tackling the riskiest problems and transforming bold ideas into reality.
- In this role, you will:
- *Develop and optimize adaptive ML algorithms that anticipate user needs and adapt to behavior in multi-tenant, multi-owner environments.
- *Collaborate with cross-functional partners (hardware, UX, human interaction) to invent and prototype features for entirely new form factors and user experiences.
- *Integrate ML models into a complex, multi-sensor, multi-modality product stack.
- *Design tools, analytics, and processes to perform deep, hands-on analysis and answer challenging technical questions.
- *Drive innovation from incubation to deployment, ensuring ideas make the leap from research into Apple products.
Tags & Categories
Answer 10 quick questions to check your fit for Senior Machine Learning Engineer — Machine Learning Innovation @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs