算法工程师
Algorithms Engineer
为数字媒体中的性能市场提供支持
QuinStreet 是在推动去中心化在线市场方面的先驱，这些市场将搜索者和“研究与比较”消费者与品牌相匹配。我们在国内最大的媒体网络之一中运营这些虚拟和自有品牌的市场。
我们行业领先的细分技术和由人工智能驱动的匹配技术帮助消费者更快找到更好的解决方案，同时让品牌能够精准地针对和触达有购买意向的客户，并且只为其取得的性能结果付费。
我们的以活动结果为导向的匹配决策引擎和优化算法是基于超过20年和数十亿美元的在线媒体经验构建的。
我们相信：
- 数字媒体的直接可衡量性。
- 性能营销。（我们率先开创了这一领域。）
- 技术的优势。
我们将所有这些整合在一起，为全球最大的渠道中的消费者和品牌带来真正出色的结果。
QuinStreet, Inc. 在加州福斯特城招聘算法工程师。
职责：从数据中生成分析见解，识别内部和业务关键绩效指标的改进机会。应用统计和机器学习工具，以提高我们识别、分析和解释趋势或异常及警报的能力。根据经理的指示，开发工程良好的软件组件来实现算法、模型和启发式方法。与团队合作，理解技术和业务挑战，并协助定义和改进数据收集和分析的标准，以支持建模和分析，以及其他由经理分配的职责。
要求：计算机科学或相关领域的学士学位，以及2年相关工作经验。此外，还需要具备以下方面的工作经验：应用机器学习、统计学习、数学优化和可扩展计算；在大型数据集上进行监督和无监督学习；编写生产级别的代码；计算机科学基础和编程；系统设计；优化；实验设计。允许远程办公。
每周工作40小时，年薪129,301.92至149,301.92美元。必须拥有在美国永久工作的资格。有兴趣申请该职位的申请人可通过 https://www.jobpostingtoday.com/ 申请，参考编号 37012。
QuinStreet 是一家平等机会雇主。我们不会基于种族、肤色、宗教、国籍、怀孕状况等因素进行歧视。
查看英文原文
Powering Performance Marketplaces in Digital Media
QuinStreet is a pioneer in powering decentralized online marketplaces that match searchers and “research and compare” consumers with brands. We run these virtual- and private-label marketplaces in one of the nation’s largest media networks.
Our industry leading segmentation and AI-driven matching technologies help consumers find better solutions and brands faster. They allow brands to target and reach in-market customer prospects with pinpoint segment-by-segment accuracy, and to pay only for performance results.
Our campaign-results-driven matching decision engines and optimization algorithms are built from over 20 years and billions of dollars of online media experience.
We believe in:
- The direct measurability of digital media.
- Performance marketing. (We pioneered it.)
- The advantages of technology.
We bring all this together to deliver truly great results for consumers and brands in the world’s biggest channel.
QuinStreet, Inc. seeks Algorithms Engineer in Foster City, CA.
Duties: Generate analytical insights from data and identify opportunities for improvement in the internal and business KPIs. Apply statistical and Machine Learning tools to improve our ability to identify, analyze, and interpret trends or anomalies and alerts. Produce well engineered software components to implement algorithms, models, and heuristics as directed by manager. Work with teams to understand technical and business challenges and contributes towards defining and improving standards of data collection and analysis to inform modeling and analysis, as well as such other duties as are assigned to you by your manager.
Requires a Bachelor's degree in Computer Science or a related field plus 2 years of experience. Additionally, requires 2 years of experience with: Applied machine learning, statistical learning, mathematical optimization and scalable computing; Supervised and unsupervised learning on large datasets; Building production level code; Computer Science fundamentals and programming; System design; optimization; experimental design. Telecommuting is permitted.
40 hours/week, $129,301.92 - $149,301.92 per year. Must also have authority to work permanently in the U.S. Applicants who are interested in this position may apply https://www.jobpostingtoday.com/ Ref # 37012.
QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, pregnancy status, sex, age, marital status, disability, sexual orientation, gender identity or any other characteristics protected by law.
Please see QuinStreet’s Employee Privacy Notice here.