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职位:Machine Learning Scientist II
行业分类:Travel technology, primarily travel fare aggregators and travel metasearch engines
公司规模:15,200
工作地点:United States - Washington - Seattle
职位要求:
Strong background using Python to implement machine learning techniques across a variety of problem types including regression, classification, and clustering
Experience performing machine learning in an industry setting using tools such as PySpark, Airflow, SQL, Hive, Kubernetes and Databricks
Strong knowledge of statistics and hypothesis testing
Driven to test fast and iterate quickly on your work
Comfortable digging into business problems and explaining your projects to stakeholders with a variety of backgrounds
Our team’s problems and the solutions we implement are wide-ranging, so you should have an interest in applying your knowledge across many different types of machine learning problems
职位申请链接(请直接复制至浏览器打开)
https://careers.expediagroup.com/jobs/job/?Machine+Learning+Scientist+II-Seattle-Washington-j-R-89347
职位:Applied Scientist
行业分类:Conglomerate
公司规模:1,541,000
工作地点:USA, CA, San Francisco
职位要求:
BS in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, or equivalent relevant industry experience. We welcome applicants with non-traditional backgrounds.
Hands-on experience with predictive modeling and analysis to solve real-world problems.
Proficiency with Python and Deep Learning Frameworks such as PyTorch or TensorFlow, basic proficiency with SQL.
https://www.amazon.jobs/en/jobs/2698463/applied-scientist
职位:Research Intern, Vision Foundation Model and Generative AI
行业分类:Entertainment Providers
公司规模:10K+
工作地点:Remote - New York;Remote - San Jose;Remote - New Jersey;Remote - West Virginia;Remote - California;Remote - Texas
职位要求:
Currently has, or is in the process of obtaining, a master/PhD degree in computer science or related field.
Publications or expertise in computer vision applications (e.g., object detection, segmentation), vision and multi-modal foundation model, data synthesis, knowledge distillation, federated learning, etc.
Ability to communicate research in a clear and precise manner.
Excellent analytical and programming skills in large-scale deep learning.
Familiar with Python, Pytorch, etc.
Experience with research communities, including having published papers at conferences, e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, etc.
Strong communication and presentation skills
https://sonyglobal.wd1.myworkdayjobs.com/en-US/SonyGlobalCareers/job/Remote---New-York/Research-Intern--Vision-Foundation-Model-and-Generative-AI_JR-116685?workerSubType=7306bd11847f108d51604b3183153b95
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