AIML - Machine Learning Engineer - Special Projects
Apple
AIML - Machine Learning Engineer - Special Projects
Job Description
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or experience we deliver is the result of us making each other’s ideas stronger. The diversity of our people and their thinking inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. The Special Projects team at Apple is developing novel user-facing conversational features that leverage the multimodal capabilities of state-of-the-art foundation models. We are looking for a highly skilled Machine Learning Engineer to lead the development and evaluation of such features in collaboration with cross-functional stakeholders. In this role, you will: - Design and implement machine learning algorithms to aid in building user-facing interactive conversational features - Leverage multi-modal foundation models for rapid prototyping and iteration - Develop evaluation strategies to translate product requirements to objective metrics - Shepherd data collection and evaluation efforts to ensure rapid and measurable progress - Collaborate with key stakeholders in hardware engineering, software engineering and design to develop prototypes and evolve them into production systems (for example, Siri and Apple Intelligence features in Apple’s operating systems).
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 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 Learning Engineeringintermediate
- Designing machine learning algorithmsintermediate
- Implementing machine learning algorithmsintermediate
- Leveraging multi-modal foundation modelsintermediate
- Rapid prototypingintermediate
- Iterationintermediate
- Developing evaluation strategiesintermediate
- Translating product requirements to objective metricsintermediate
- Shepherding data collectionintermediate
- Shepherding evaluation effortsintermediate
- Collaboration with cross-functional stakeholdersintermediate
- Collaboration with hardware engineeringintermediate
- Collaboration with software engineeringintermediate
- Collaboration with designintermediate
- Developing prototypesintermediate
- Evolving prototypes to production systemsintermediate
Required Qualifications
- Master’s degree in Computer Science or other STEM majors (degree in computer science or other stem majors)
- Experience with the use and evaluation of foundation models (experience)
- Proficiency in Python and ML frameworks (Pytorch or Tensorflow) (experience)
- 2+ year of Hands-on industry experience building and evaluating Machine Learning or Natural Language Processing systems (experience, 2 years)
Preferred Qualifications
- PhD in Computer Science, Machine Learning or a related technical field (degree in computer science)
- 4+ years of hands-on industry experience with Machine Learning systems (experience, 4 years)
- Proficiency in training and evaluation of foundation models and frameworks (experience)
- A track record of publications or technical presentations in Machine Learning journals or conferences (experience)
- Excellent at communication and cross functional collaboration (experience)
Responsibilities
- In this role, you will:
- - Design and implement machine learning algorithms to aid in building user-facing interactive conversational features
- - Leverage multi-modal foundation models for rapid prototyping and iteration
- - Develop evaluation strategies to translate product requirements to objective metrics
- - Shepherd data collection and evaluation efforts to ensure rapid and measurable progress
- - Collaborate with key stakeholders in hardware engineering, software engineering and design to develop prototypes and evolve them into production systems (for example, Siri and Apple Intelligence features in Apple’s operating systems).
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AIML - Machine Learning Engineer - Special Projects
Apple
AIML - Machine Learning Engineer - Special Projects
Job Description
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or experience we deliver is the result of us making each other’s ideas stronger. The diversity of our people and their thinking inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. The Special Projects team at Apple is developing novel user-facing conversational features that leverage the multimodal capabilities of state-of-the-art foundation models. We are looking for a highly skilled Machine Learning Engineer to lead the development and evaluation of such features in collaboration with cross-functional stakeholders. In this role, you will: - Design and implement machine learning algorithms to aid in building user-facing interactive conversational features - Leverage multi-modal foundation models for rapid prototyping and iteration - Develop evaluation strategies to translate product requirements to objective metrics - Shepherd data collection and evaluation efforts to ensure rapid and measurable progress - Collaborate with key stakeholders in hardware engineering, software engineering and design to develop prototypes and evolve them into production systems (for example, Siri and Apple Intelligence features in Apple’s operating systems).
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 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 Learning Engineeringintermediate
- Designing machine learning algorithmsintermediate
- Implementing machine learning algorithmsintermediate
- Leveraging multi-modal foundation modelsintermediate
- Rapid prototypingintermediate
- Iterationintermediate
- Developing evaluation strategiesintermediate
- Translating product requirements to objective metricsintermediate
- Shepherding data collectionintermediate
- Shepherding evaluation effortsintermediate
- Collaboration with cross-functional stakeholdersintermediate
- Collaboration with hardware engineeringintermediate
- Collaboration with software engineeringintermediate
- Collaboration with designintermediate
- Developing prototypesintermediate
- Evolving prototypes to production systemsintermediate
Required Qualifications
- Master’s degree in Computer Science or other STEM majors (degree in computer science or other stem majors)
- Experience with the use and evaluation of foundation models (experience)
- Proficiency in Python and ML frameworks (Pytorch or Tensorflow) (experience)
- 2+ year of Hands-on industry experience building and evaluating Machine Learning or Natural Language Processing systems (experience, 2 years)
Preferred Qualifications
- PhD in Computer Science, Machine Learning or a related technical field (degree in computer science)
- 4+ years of hands-on industry experience with Machine Learning systems (experience, 4 years)
- Proficiency in training and evaluation of foundation models and frameworks (experience)
- A track record of publications or technical presentations in Machine Learning journals or conferences (experience)
- Excellent at communication and cross functional collaboration (experience)
Responsibilities
- In this role, you will:
- - Design and implement machine learning algorithms to aid in building user-facing interactive conversational features
- - Leverage multi-modal foundation models for rapid prototyping and iteration
- - Develop evaluation strategies to translate product requirements to objective metrics
- - Shepherd data collection and evaluation efforts to ensure rapid and measurable progress
- - Collaborate with key stakeholders in hardware engineering, software engineering and design to develop prototypes and evolve them into production systems (for example, Siri and Apple Intelligence features in Apple’s operating systems).
Tags & Categories
Answer 10 quick questions to check your fit for AIML - Machine Learning Engineer - Special Projects @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs