Applied Research Engineer/Scientist
Apple
Applied Research Engineer/Scientist
Job Description
Our team is seeking Machine Learning Scientists and Engineers to help build AI-driven products at Apple. This role focuses on ML development and implementation, working closely with hardware, software, and design teams across the company. You'll be joining a collaborative environment that fosters innovation and pushes the boundaries of AI and machine learning. Your work will contribute to how AI technologies are integrated across our product ecosystem. In this role, you will participate in the ML development lifecycle, working with cross-functional teams to bring innovative AI technologies into reality. You'll help design and implement ML models, work with ML tooling and infrastructure, support evaluation efforts, and implement model inference solutions. The team values rapid iteration, based on bringing models into reality so stakeholders can understand cutting-edge technology and research. You'll collaborate with hardware, software, and design teams across Apple, helping to implement engineering solutions ready for product development. This opportunity allows you to work on innovative projects that enhance user experiences and technological capabilities. You'll be part of a collaborative environment that explores new possibilities with AI and machine learning. Key Responsibilities: Implement ML models and infrastructure in partnership with designers, software/hardware engineers, and R&D teams Support data generation, curation, and evaluation efforts for ML systems Help develop model inference solutions Prototype AI solutions that solve real-world problems Communicate technical concepts to diverse team members, and assist in translating research innovations into practical implementations Collaborate with teams across Apple to implement AI technology into prototypes
Locations
- Cupertino, California, United States 95014
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 Learning developmentintermediate
- AI implementationintermediate
- Cross-functional collaborationintermediate
- ML model designintermediate
- ML model implementationintermediate
- ML toolingintermediate
- ML infrastructureintermediate
- Model evaluationintermediate
- Model inference implementationintermediate
- Rapid iterationintermediate
- Hardware collaborationintermediate
- Software collaborationintermediate
- Design collaborationintermediate
- Engineering solutions implementationintermediate
- Data generationintermediate
- Data curationintermediate
- Data evaluationintermediate
- AI prototypingintermediate
- Problem-solvingintermediate
- Technical communicationintermediate
- Research translationintermediate
- AI technology integrationintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Machine Learning, or related technical field; or equivalent practical experience (experience)
- Experience with machine learning through hands-on work in product development, prototyping, or research environments (experience)
- Strong programming skills with experience in machine learning development (experience)
- Understanding of transformer-based models (experience)
- Ability to communicate technical concepts to team members (experience)
- Experience with prototyping in ML/AI contexts (experience)
Preferred Qualifications
- Knowledge of large language models (LLMs) and multi-modal foundation models (experience)
- Experience with pre-training, fine-tuning, or performance optimization (experience)
- Familiarity with AI systems capable of reasoning and task execution (experience)
- Creativity and curiosity about applying AI capabilities to product experiences (experience)
- Ability to implement research innovations into practical applications (experience)
- Good collaborative skills and effective communication (experience)
Responsibilities
- In this role, you will participate in the ML development lifecycle, working with cross-functional teams to bring innovative AI technologies into reality. You'll help design and implement ML models, work with ML tooling and infrastructure, support evaluation efforts, and implement model inference solutions. The team values rapid iteration, based on bringing models into reality so stakeholders can understand cutting-edge technology and research. You'll collaborate with hardware, software, and design teams across Apple, helping to implement engineering solutions ready for product development. This opportunity allows you to work on innovative projects that enhance user experiences and technological capabilities. You'll be part of a collaborative environment that explores new possibilities with AI and machine learning.
- Key Responsibilities:
- Implement ML models and infrastructure in partnership with designers, software/hardware engineers, and R&D teams
- Support data generation, curation, and evaluation efforts for ML systems
- Help develop model inference solutions Prototype AI solutions that solve real-world problems
- Communicate technical concepts to diverse team members, and assist in translating research innovations into practical implementations
- Collaborate with teams across Apple to implement AI technology into prototypes
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Applied Research Engineer/Scientist
Apple
Applied Research Engineer/Scientist
Job Description
Our team is seeking Machine Learning Scientists and Engineers to help build AI-driven products at Apple. This role focuses on ML development and implementation, working closely with hardware, software, and design teams across the company. You'll be joining a collaborative environment that fosters innovation and pushes the boundaries of AI and machine learning. Your work will contribute to how AI technologies are integrated across our product ecosystem. In this role, you will participate in the ML development lifecycle, working with cross-functional teams to bring innovative AI technologies into reality. You'll help design and implement ML models, work with ML tooling and infrastructure, support evaluation efforts, and implement model inference solutions. The team values rapid iteration, based on bringing models into reality so stakeholders can understand cutting-edge technology and research. You'll collaborate with hardware, software, and design teams across Apple, helping to implement engineering solutions ready for product development. This opportunity allows you to work on innovative projects that enhance user experiences and technological capabilities. You'll be part of a collaborative environment that explores new possibilities with AI and machine learning. Key Responsibilities: Implement ML models and infrastructure in partnership with designers, software/hardware engineers, and R&D teams Support data generation, curation, and evaluation efforts for ML systems Help develop model inference solutions Prototype AI solutions that solve real-world problems Communicate technical concepts to diverse team members, and assist in translating research innovations into practical implementations Collaborate with teams across Apple to implement AI technology into prototypes
Locations
- Cupertino, California, United States 95014
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 Learning developmentintermediate
- AI implementationintermediate
- Cross-functional collaborationintermediate
- ML model designintermediate
- ML model implementationintermediate
- ML toolingintermediate
- ML infrastructureintermediate
- Model evaluationintermediate
- Model inference implementationintermediate
- Rapid iterationintermediate
- Hardware collaborationintermediate
- Software collaborationintermediate
- Design collaborationintermediate
- Engineering solutions implementationintermediate
- Data generationintermediate
- Data curationintermediate
- Data evaluationintermediate
- AI prototypingintermediate
- Problem-solvingintermediate
- Technical communicationintermediate
- Research translationintermediate
- AI technology integrationintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Machine Learning, or related technical field; or equivalent practical experience (experience)
- Experience with machine learning through hands-on work in product development, prototyping, or research environments (experience)
- Strong programming skills with experience in machine learning development (experience)
- Understanding of transformer-based models (experience)
- Ability to communicate technical concepts to team members (experience)
- Experience with prototyping in ML/AI contexts (experience)
Preferred Qualifications
- Knowledge of large language models (LLMs) and multi-modal foundation models (experience)
- Experience with pre-training, fine-tuning, or performance optimization (experience)
- Familiarity with AI systems capable of reasoning and task execution (experience)
- Creativity and curiosity about applying AI capabilities to product experiences (experience)
- Ability to implement research innovations into practical applications (experience)
- Good collaborative skills and effective communication (experience)
Responsibilities
- In this role, you will participate in the ML development lifecycle, working with cross-functional teams to bring innovative AI technologies into reality. You'll help design and implement ML models, work with ML tooling and infrastructure, support evaluation efforts, and implement model inference solutions. The team values rapid iteration, based on bringing models into reality so stakeholders can understand cutting-edge technology and research. You'll collaborate with hardware, software, and design teams across Apple, helping to implement engineering solutions ready for product development. This opportunity allows you to work on innovative projects that enhance user experiences and technological capabilities. You'll be part of a collaborative environment that explores new possibilities with AI and machine learning.
- Key Responsibilities:
- Implement ML models and infrastructure in partnership with designers, software/hardware engineers, and R&D teams
- Support data generation, curation, and evaluation efforts for ML systems
- Help develop model inference solutions Prototype AI solutions that solve real-world problems
- Communicate technical concepts to diverse team members, and assist in translating research innovations into practical implementations
- Collaborate with teams across Apple to implement AI technology into prototypes
Tags & Categories
Answer 10 quick questions to check your fit for Applied Research Engineer/Scientist @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs