Machine Learning Engineer, Distributed Data Systems - Robotics
머신러닝 엔지니어정규직— · 경력 무관
OpenAI Robotics 팀에서 분산 데이터 시스템을 설계하고 확장할 엔지니어를 찾습니다. 분산 시스템 및 대규모 인프라 구축 경험이 필수이며, 연구원들과 협업하여 로보틱스 모델 학습을 위한 견고한 파이프라인을 구축합니다. 데이터 오케스트레이션과 확장성 있는 시스템 설계 역량이 중요합니다. 샌프란시스코 기반의 하이브리드 근무 환경을 제공합니다.
The OpenAI Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives.
As a Research Engineer, Distributed Data Systems, you will design and scale the infrastructure that powers large-scale multimodal training and evaluation at OpenAI. You’ll manage distributed data pipelines, collaborate closely with researchers to translate requirements into robust systems, and harden pipelines that serve as the backbone for OpenAI's rapid iteration cycles.
We’re looking for engineers who are detail-oriented, have strong experience with distributed systems, and excel at building reliable infrastructure in high-stakes environments.
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security.
Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient.
Partner with researchers to deeply understand requirements and translate them into production-ready systems.
Harden, optimize, and maintain critical data infrastructure systems that power multimodal training and evaluation.
Have strong experience with distributed systems and large-scale infrastructure with a strong interest in data.
Are detail-oriented and bring rigor to building and maintaining reliable systems.
Demonstrate excellent software engineering fundamentals and organizational skills.
Are comfortable with ambiguity and rapid change.
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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