- 경험
- 어느
- 샐러리
- USD 600,000 – USD 2,000,000 / year
- 채용 공고
- 1
- 게시됨
- 9시간전
- 작업 모드
- 재택근무
- 교육
- PhD in Computer Science or related field
- 재개하다
- 신청 시 필수 사항
직무 설명
Overview
We are seeking a Member of Technical Staff specializing in Frontier AI to contribute full-time in a remote capacity. This role entails driving advancements in cutting-edge AI models and systems, pushing the boundaries of current artificial intelligence technologies.
Key Responsibilities
- Design and develop innovative AI architectures and algorithms for next-generation applications.
- Lead research projects aimed at enhancing model efficiency, scalability, and overall performance.
- Work collaboratively with cross-functional teams to integrate AI solutions into production environments.
- Publish research outcomes through technical reports, whitepapers, or participation in conferences.
- Assess and benchmark emerging AI models, toolkits, and hardware accelerators.
Qualifications and Skills
- PhD in Computer Science, AI, Machine Learning, or equivalent industry experience in a related field.
- Expertise in deep learning frameworks such as PyTorch or TensorFlow.
- Extensive knowledge of large-scale distributed training and techniques for optimizing models.
- Experience working with AI hardware accelerators, including GPUs and TPUs.
- Proven ability to independently conduct research and manage technical projects.
- Familiarity with reinforcement learning, generative modeling, and multi-modal AI systems.
- Strong skills in debugging and analyzing complex AI systems.
- Effective communication skills to explain technical concepts to varied audiences.
Additional Information
This opportunity allows you to collaborate with a worldwide leader in software development and information technology, engaging with state-of-the-art AI advancements. The role provides access to high-performance computational resources and interaction with leading AI researchers and engineers.
We are an equal opportunity employer, welcoming all qualified applicants regardless of background or prior work history, focusing solely on technical competencies and qualifications.