创新工场机器学习研究员实习生招聘
职位名称：
- 机器学习研究员
职位信息：
公司：创新工场
面向人群：22届、23届
岗位名称：机器学习研究员
职类：技术
工作地点：北京
岗位要求(Must have)
① B.S./M.S./Ph.D. in machine learning / AI related fields such as applied math, statistics, computer science, computational biology etc.
② Fluent coding in Python, experience using Python for data analysis and machine learning.
③ Experience with deep learning models such as Transformer, CNN, RNN, GAN, Graph Neural nets. Experience with large language models or graph neural networks is a plus.
④ Familiarity and working experience with Pytorch or Tensorflow, Pytorch is preferred.
⑤ Strong interest and motivation to learn biology and domain knowledge for biological sequence modeling (e.g., protein sequence and DNA sequence).
⑥ Strong cross-domain communication skills and collaborative attitude.
岗位要求（Nice to Have）
① Experience in biological sequence analysis against public databases (e.g., UniProt, GENCODE, ExAC/GnomAD, UK Biobank, Protein Data Bank etc) and multiple sequence alignment.
② Familiar with commonly used biological databases and bioinformatics software tools.
③ Knowledge and/or working experience in NGS (next generation sequencing), e.g., RNA-seq, CHIP-seq.
④ Working experience with CRISPR and NGS.
⑤ Knowledge and/or experience with deep mutational scanning.
投递邮箱
hr@chuangxin.com
简历及邮件格式命名：
【公司】+【岗位】+【地点】+【姓名】+【届次】
截止时间：1月25日
面向人群：22届、23届
岗位名称：机器学习研究员
职类：技术
工作地点：北京
岗位要求(Must have)
① B.S./M.S./Ph.D. in machine learning / AI related fields such as applied math, statistics, computer science, computational biology etc.
② Fluent coding in Python, experience using Python for data analysis and machine learning.
③ Experience with deep learning models such as Transformer, CNN, RNN, GAN, Graph Neural nets. Experience with large language models or graph neural networks is a plus.
④ Familiarity and working experience with Pytorch or Tensorflow, Pytorch is preferred.
⑤ Strong interest and motivation to learn biology and domain knowledge for biological sequence modeling (e.g., protein sequence and DNA sequence).
⑥ Strong cross-domain communication skills and collaborative attitude.
岗位要求（Nice to Have）
① Experience in biological sequence analysis against public databases (e.g., UniProt, GENCODE, ExAC/GnomAD, UK Biobank, Protein Data Bank etc) and multiple sequence alignment.
② Familiar with commonly used biological databases and bioinformatics software tools.
③ Knowledge and/or working experience in NGS (next generation sequencing), e.g., RNA-seq, CHIP-seq.
④ Working experience with CRISPR and NGS.
⑤ Knowledge and/or experience with deep mutational scanning.
投递邮箱
hr@chuangxin.com
简历及邮件格式命名：
【公司】+【岗位】+【地点】+【姓名】+【届次】
截止时间：1月25日
投递方式：
- 联系人邮箱：hr@chuangxin.com
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