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 drive a research agenda at the intersection of machine learning and graphics, with a focus on generative modeling for 3D/4D content, video, audio, and simulation. 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
- 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
- foundational research in machine learningintermediate
- collaboration with machine learning engineersintermediate
- publishing in scientific venuesintermediate
- research background in machine learningintermediate
- producing high-quality reproducible researchintermediate
- defining and driving research agendaintermediate
- generative modeling for 3D/4D contentintermediate
- generative modeling for videointermediate
- generative modeling for audiointermediate
- generative modeling for simulationintermediate
- rigorous experimentationintermediate
- developing high-quality codeintermediate
- technical mentorshipintermediate
- preparing publications and presentationsintermediate
Required Qualifications
- Demonstrated expertise in machine learning and generative modeling research (experience)
- Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, SIGGRAPH, etc.) (experience)
- Strong hands-on experience working with Python and deep learning toolkits such as PyTorch (experience)
- Experience with C++, CUDA, and graphics or rendering simulation environments is a strong plus (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 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 drive a research agenda at the intersection of machine learning and graphics, with a focus on generative modeling for 3D/4D content, video, audio, and simulation. 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
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
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 drive a research agenda at the intersection of machine learning and graphics, with a focus on generative modeling for 3D/4D content, video, audio, and simulation. 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
- 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
- foundational research in machine learningintermediate
- collaboration with machine learning engineersintermediate
- publishing in scientific venuesintermediate
- research background in machine learningintermediate
- producing high-quality reproducible researchintermediate
- defining and driving research agendaintermediate
- generative modeling for 3D/4D contentintermediate
- generative modeling for videointermediate
- generative modeling for audiointermediate
- generative modeling for simulationintermediate
- rigorous experimentationintermediate
- developing high-quality codeintermediate
- technical mentorshipintermediate
- preparing publications and presentationsintermediate
Required Qualifications
- Demonstrated expertise in machine learning and generative modeling research (experience)
- Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, SIGGRAPH, etc.) (experience)
- Strong hands-on experience working with Python and deep learning toolkits such as PyTorch (experience)
- Experience with C++, CUDA, and graphics or rendering simulation environments is a strong plus (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 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 drive a research agenda at the intersection of machine learning and graphics, with a focus on generative modeling for 3D/4D content, video, audio, and simulation. 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
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