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本帖最后由 JerryAi 于 2021-12-1 10:50 编辑
Jerry.ai 是总部位于硅谷的明星人工智能金融互联网高科技公司, 聚焦万亿级市场,我们为百万用户提供最佳人工智能金融产品选购平台。近来,公司完成了新一轮上亿元级别融资, 并被领英提名为全美创业公司50强。我们正在致力于大规模的团队扩建,希望寻找热爱技术,喜爱技术挑战的人才加入我们的团队。
关于我们:
* 聚焦万亿级市场,获得硅谷顶级风投上亿级融资 ;
* 北美最佳人工智能金融产品平台,致力打造移动+AI 时代的最优汽车金融产品。
* 直击用户痛点,绝佳用户体验,APP 业内排名第一,季度营收指数增长;
* 国际化多元文化, 开放透明平等
* 热爱技术,背景优秀的同事(我们的同事来自于:阿里, 亚马逊,微软,英伟达,华为,快手等)。
A few examples of the exciting projects that we are working on:
- Create a smart prediction engine for customer’s insurance coverage needs
- Build predictive models on customer purchase behavior based on a large data set
- Use telematics tracking to build customer driving risk profile
Position1: Software Engineer (All Levels)
About YOU:
- You love tackling convoluted problems and coming up with clean, stable solutions that scale.
- You have a genuine passion for designing and implementing elegant software solutions.
- You are intimately familiar (and up to date) with the development ecosystem and make sound decisions when choosing the right tool or library for the job.
- You will contribute across the entire product stack, as well as collectively oversee the integrity of the codebase.
A few more specifics about YOU:
- 1 + years of full-time software development experience. (3+ years of experience for the sr sde role)
- B.S. degree in Computer Science or related discipline.
- Strong software development fundamentals (data structures, algorithms, etc.).
- Proficient with modern web application development with knowledge of JS ecosystems and open source web frameworks (e.g. NodeJS / React / GraphQL / PostgreSQL / Redshift / Redis / Kubernetes).
- 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 codebases and know how to maintain them.
Position 2: Data Analyst
Responsibilities:
- Analyze large amounts of data to discover trends and patterns, solve a wide array of challenging problems using different analytical and statistical approaches.
- Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products.
- Identify and measure the success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
- Partner with relevant teams (e.g. product, engineering, and marketing) to build better models, solve problems and identify trends and opportunities from both a market and user perspective.
- SQL and MapReduce job tuning to improve data processing performance.
Requirements:
- Bachelors/Masters Degree with 1+ years of experience working within an analytical role.
- Strong SQL skills. Able to write algorithms needed for modeling and prediction that deal with advanced data structures.
- Experience solving analytical problems using quantitative approaches.
- 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.
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