LLM Researcher
AI限定地区（需当地身份）
公司PearTree
薪资未公开
工作地点United States
地域资格限定地区（需当地身份）
时区要求日间重叠约 9 小时，基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
注意地域限制：该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者，通常需要当地工作身份才能投递，或需与雇主确认是否接受独立合同（Contractor）形式合作。
关于本页中文：职位描述由本机离线模型翻译，属机器翻译，供快速判断用；正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。
职责：· 用各种技术训练和改进 NLP 模型。·根据具体要求进行细节调整的模型。·跟最新 NLP 研究保持更新。·与数据科学家和软件工程师合作，将模型集成到产品和服务中。·创建和维护与培训过程和模型相关的文档。要求。·计算机科学，数学或相应领域博士/士学位。· 3年以上经验从零开始培训 NLP 模型。· 从零开始培养 LLM 或大型模型，包括转组准备，细调，量化等优化。· 熟练学习深度框架，包括 TensorFlow,PyTorch 或 Keras. ·良好的解决问题，分析和沟通技能。益处。· 我们目前是遵循 Work from Anywhere 政策的远程第一组织。· 我们鼓励每个人都参与创意和改进过程。·我们重视心理健康并为我们的队友投资各种项目。原始地发布在喜马拉雅山。
查看英文原文
This is a remote position.
LLM Researcher
We are looking for passionate candidates with deep experience in building LLM models from scratch to work on building open source models and solutions on top of them.
Responsibilities:
- Train and improve NLP models using various techniques.
- Fine-tune models based on specific requirements
- Stay up-to-date with the latest NLP research.
- Collaborate with data scientists and software engineers to integrate models into products and services.
- Create and maintain documentation related to the training process and models.
Requirements
- Phd/Master's degree in computer science, math, or related field.
- 3+ years of hands on experience in NLP model training from scratch and improvement.
- Training a LLM / or large models from scratch, including traningset prep, fine-tuning, optimizations like quantization, etc.
- Proficiency in deep learning frameworks, including TensorFlow, PyTorch, or Keras.
- Good problem-solving, analytical, and communication skills.
Benefits
- We are currently a remote-first organization following the Work from Anywhere policy.
- We encourage everyone to participate in the ideation and improvement process.
- We value mental well-being and invest in various programs for our teammates.
Originally posted on Himalayas
本页面信息整理自 Himalayas，版权归原发布方所有。职位可能随时关闭，投递请以原始页面为准。
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