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 should have a strong research background in machine learning or related fields, with a proven record of publications in leading machine learning conferences and journals. In this role, you will have the opportunity to define and pursue a research agenda focused on solving fundamental problems related to data-centric ML and AI agents, such as synthetic data generation, enhancing planning and reasoning capabilities of ML models. You will focus on producing high-quality, reproducible research and advancing 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
- Seattle, Washington, United States 98117
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 researchintermediate
- collaborating with machine learning engineers and researchersintermediate
- publishing in scientific venuesintermediate
- defining and pursuing research agendaintermediate
- solving problems in data-centric ML and AI agentsintermediate
- synthetic data generationintermediate
- enhancing planning and reasoning capabilities of ML modelsintermediate
- producing high-quality reproducible researchintermediate
- rigorous experimentationintermediate
- developing high-quality codeintermediate
- providing 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, NAACL, 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)
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)
- PhD or equivalent practical experience in Computer Science or a related technical field. (experience)
- Strong presentation skills for internal and external communications (experience)
Responsibilities
- You should have a strong research background in machine learning or related fields, with a proven record of publications in leading machine learning conferences and journals. In this role, you will have the opportunity to define and pursue a research agenda focused on solving fundamental problems related to data-centric ML and AI agents, such as synthetic data generation, enhancing planning and reasoning capabilities of ML models. You will focus on producing high-quality, reproducible research and advancing 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.
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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 should have a strong research background in machine learning or related fields, with a proven record of publications in leading machine learning conferences and journals. In this role, you will have the opportunity to define and pursue a research agenda focused on solving fundamental problems related to data-centric ML and AI agents, such as synthetic data generation, enhancing planning and reasoning capabilities of ML models. You will focus on producing high-quality, reproducible research and advancing 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
- Seattle, Washington, United States 98117
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 researchintermediate
- collaborating with machine learning engineers and researchersintermediate
- publishing in scientific venuesintermediate
- defining and pursuing research agendaintermediate
- solving problems in data-centric ML and AI agentsintermediate
- synthetic data generationintermediate
- enhancing planning and reasoning capabilities of ML modelsintermediate
- producing high-quality reproducible researchintermediate
- rigorous experimentationintermediate
- developing high-quality codeintermediate
- providing 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, NAACL, 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)
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)
- PhD or equivalent practical experience in Computer Science or a related technical field. (experience)
- Strong presentation skills for internal and external communications (experience)
Responsibilities
- You should have a strong research background in machine learning or related fields, with a proven record of publications in leading machine learning conferences and journals. In this role, you will have the opportunity to define and pursue a research agenda focused on solving fundamental problems related to data-centric ML and AI agents, such as synthetic data generation, enhancing planning and reasoning capabilities of ML models. You will focus on producing high-quality, reproducible research and advancing 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
Answer 10 quick questions to check your fit for AIML - Machine Learning Researcher, MLR @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs