AIML - Machine Learning Researcher, MLR
Apple
AIML - Machine Learning Researcher, MLR
Job Description
Play a part in building the next revolution in machine learning technology. We’re looking for passionate researchers to work on ambitious, curiosity-driven, long-term research projects. In this role, you’ll have the opportunity to work on innovative foundational research in machine learning. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results in high-quality scientific venues. You have a strong research background in machine learning or related fields and regularly publish your work in leading conferences and journals. You are committed to producing high-quality, reproducible research. In this role, you will have the opportunity to define and pursue a research agenda focused on fundamental problems in machine learning, including efficient training algorithms and models with fast inference, especially with multi-modal, multi-task, and reasoning capabilities. You will advance our understanding of these areas through rigorous experimentation and close collaboration with colleagues. You will also develop high-quality code, provide technical mentorship, and prepare publications and presentations for top-tier venues. Additionally, you will have opportunities to collaborate with broader teams across Apple.
Locations
- Cupertino, California, United States 95014
Salary
Salary not disclosed
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 researchintermediate
- publishing in leading conferences and journalsintermediate
- producing high-quality reproducible researchintermediate
- defining and pursuing research agendasintermediate
- developing efficient training algorithmsintermediate
- developing models with fast inferenceintermediate
- multi-modal capabilitiesintermediate
- multi-task capabilitiesintermediate
- reasoning capabilitiesintermediate
- rigorous experimentationintermediate
- collaboration with colleaguesintermediate
- developing high-quality codeintermediate
- technical mentorshipintermediate
- preparing publications and presentationsintermediate
Required Qualifications
- Demonstrated expertise in machine learning research. (experience)
- Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc.) (experience)
- Strong hands-on experience working with Python and deep learning toolkits such as PyTorch. (experience)
- Strong mathematical skills in linear algebra and statistics. (experience)
- PhD or equivalent practical experience in Computer Science or a related technical field. (experience)
Preferred Qualifications
- Ability to formulate a research problem and design, experiment, implement, and communicate solutions. (experience)
- Ability to work in a diverse, collaborative environment. (experience)
- High-quality open-source contributions to related projects. (experience)
- Strong presentation skills for internal and external communications. (experience)
Responsibilities
- You have a strong research background in machine learning or related fields and regularly publish your work in leading conferences and journals. You are committed to producing high-quality, reproducible research.
- In this role, you will have the opportunity to define and pursue a research agenda focused on fundamental problems in machine learning, including efficient training algorithms and models with fast inference, especially with multi-modal, multi-task, and reasoning capabilities. You will advance our understanding of these areas through rigorous experimentation and close collaboration with colleagues. You will also develop high-quality code, provide technical mentorship, and prepare publications and presentations for top-tier venues. Additionally, you will have opportunities to collaborate with broader teams across Apple.
Tags & Categories
AIML - Machine Learning Researcher, MLR
Apple
AIML - Machine Learning Researcher, MLR
Job Description
Play a part in building the next revolution in machine learning technology. We’re looking for passionate researchers to work on ambitious, curiosity-driven, long-term research projects. In this role, you’ll have the opportunity to work on innovative foundational research in machine learning. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results in high-quality scientific venues. You have a strong research background in machine learning or related fields and regularly publish your work in leading conferences and journals. You are committed to producing high-quality, reproducible research. In this role, you will have the opportunity to define and pursue a research agenda focused on fundamental problems in machine learning, including efficient training algorithms and models with fast inference, especially with multi-modal, multi-task, and reasoning capabilities. You will advance our understanding of these areas through rigorous experimentation and close collaboration with colleagues. You will also develop high-quality code, provide technical mentorship, and prepare publications and presentations for top-tier venues. Additionally, you will have opportunities to collaborate with broader teams across Apple.
Locations
- Cupertino, California, United States 95014
Salary
Salary not disclosed
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 researchintermediate
- publishing in leading conferences and journalsintermediate
- producing high-quality reproducible researchintermediate
- defining and pursuing research agendasintermediate
- developing efficient training algorithmsintermediate
- developing models with fast inferenceintermediate
- multi-modal capabilitiesintermediate
- multi-task capabilitiesintermediate
- reasoning capabilitiesintermediate
- rigorous experimentationintermediate
- collaboration with colleaguesintermediate
- developing high-quality codeintermediate
- technical mentorshipintermediate
- preparing publications and presentationsintermediate
Required Qualifications
- Demonstrated expertise in machine learning research. (experience)
- Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc.) (experience)
- Strong hands-on experience working with Python and deep learning toolkits such as PyTorch. (experience)
- Strong mathematical skills in linear algebra and statistics. (experience)
- PhD or equivalent practical experience in Computer Science or a related technical field. (experience)
Preferred Qualifications
- Ability to formulate a research problem and design, experiment, implement, and communicate solutions. (experience)
- Ability to work in a diverse, collaborative environment. (experience)
- High-quality open-source contributions to related projects. (experience)
- Strong presentation skills for internal and external communications. (experience)
Responsibilities
- You have a strong research background in machine learning or related fields and regularly publish your work in leading conferences and journals. You are committed to producing high-quality, reproducible research.
- In this role, you will have the opportunity to define and pursue a research agenda focused on fundamental problems in machine learning, including efficient training algorithms and models with fast inference, especially with multi-modal, multi-task, and reasoning capabilities. You will advance our understanding of these areas through rigorous experimentation and close collaboration with colleagues. You will also develop high-quality code, provide technical mentorship, and prepare publications and presentations for top-tier venues. Additionally, you will have opportunities to collaborate with broader teams across Apple.
Tags & Categories