[New Grad友好] Jerry.ai SDE Team 扩招中

Jerry.ai 是一家具有强大技术背景的北美跨国高科技创新公司，目前在加拿大多伦多,美国硅谷以及纽约州均设有分部, 并在国内有一支全职开发团队。 公司由美国名校博士联合创立，三位联合创始人具有丰富的硅谷连续创业经验，旗下产品利用大数据和人工智能技术与美国金融机构和保险公司进行数据对接与合作，从而为用户打造最快捷便利的人工智能金融和保险产品选购平台。自从我们的产品发布以来，在过去 15 个月内得到了迅速的增长（每月增长 30%以上）。

公司现有 130+ 名员工，技术团队背景非常多元化，团队成员均具有强大的技术背景和丰富的工作经验，大部分成员曾就职于知名科技企业， 比如： 微软，亚马逊，阿里巴巴，英伟达，华为，快手。 近来，公司完成了上亿元级别融资，我们正在致力于新一轮的团队扩建。我们希望寻找具有丰富经验，喜爱技术挑的人才加入我们的队伍

1. Software Engineer (all levels)
Responsibilities:

• Participate in the design and development of projects, either independently or in a team.
• Participate in product decision-making, providing feedback and suggestions for improvement.
• Be self-sufficient and take responsibility of seeing projects through to successful conclusions.
• Lead design and development of projects, either independently or in a team.
• Be the gatekeeper of the codebase and ensure that it stays stable, readable, and free of technical debt.
  

Requirements:

• B.S. degree in Computer Science or related discipline.
• Strong software development fundamentals (data structures, algorithms, etc.).
• Proficient with modern Javascript (ES6+: Classes, modules, arrow functions, async/await, destructuring, etc.).
• Knowledge of JS ecosystem (tooling, libraries, etc.).
• Familiarity with one or more frontend frameworks, preferably React.
• Knowledge of good practices, preferred design patterns, and writing idiomatic Javascript code.
• Solid understanding of performance implications and scalability of code.
• Keenness for writing good, meaningful tests and maintaining thorough test coverage.
• Experience with large, complex code bases and know how to maintain them.
  

Good to have:

• Experience with React Native.
• Experience with GraphQL and Apollo.
  

2. Data Scientists:
Responsibilities

• Identify valuable data sources and automate collection processes
• Undertake to preprocess of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modeling
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
  

Requirements

• Extensive experience with SQL
• B.S. or M.S. in a quantitative field required. Ph.D. in similar fields a plus.
• 1-3 years experience with Statistical/Machine Learning, NLP, Deep Learning
• Strong programming skills. Able to write algorithms needed for modeling and prediction that deals with advanced data structures.
• Follow Data Science literature and advancements. The most successful candidates possess the ability to apply cutting edge advancements in Data Science methodologies to relevant business problems.
  

Location:

• Toronto
• Palo Alto
• Boston
  

如果您感兴趣，请把您的英文简历发至：

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