- 경험
- 어느
- 샐러리
- USD 600,000 – USD 2,000,000 / year
- 채용 공고
- 1
- 게시됨
- 1주 전
- 작업 모드
- 재택근무
- 교육
- PhD or equivalent
- 재개하다
- 신청 시 필수 사항
직무 설명
Role Overview
We are seeking a Member of Technical Staff specializing in Frontier AI to join on a full-time basis, working remotely from any location. This position centers on advancing state-of-the-art AI models and systems, contributing deeply to research and development efforts that expand the current frontiers of artificial intelligence technology.
Key Responsibilities
- Design, implement, and refine next-generation AI architectures and algorithms.
- Lead research projects aimed at enhancing model efficiency, scalability, and overall performance.
- Collaborate with interdisciplinary teams to seamlessly integrate AI solutions into production environments.
- Publish research outcomes through technical reports, whitepapers, and conference presentations.
- Assess, benchmark, and analyze new AI models, frameworks, and specialized hardware accelerators.
Required Skills & Qualifications
- PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline; equivalent practical experience considered.
- Expertise with deep learning platforms such as PyTorch or TensorFlow.
- Strong proficiency in large-scale distributed training processes and model optimization strategies.
- Experience working with AI-focused hardware, including GPUs and TPUs.
- Proven ability to independently conduct research and lead technical initiatives.
- Familiarity with reinforcement learning, generative models, and multi-modal AI systems.
- Excellent problem-solving and analytical skills for intricate AI systems.
- Ability to clearly articulate complex technical concepts to various audiences.
Additional Information
This position presents a unique chance to collaborate with a global leader within the Software Development and Technology sector. The role includes access to advanced computational infrastructure and engagement with premier researchers and engineers in the AI community.
Equal Opportunity Employer
The employer embraces diversity, basing hiring decisions on skill and expertise. All qualified candidates are encouraged to apply, regardless of background or prior employment history. Assessment is strictly based on demonstrated technical proficiency and qualifications.
Compensation
The annual remuneration for this role ranges between $600,000 and $2,000,000 USD, reflecting the level of expertise and impact expected.