Senior Software Engineer, Machine Learning
我们提供混合工作环境。美国大多数职位也可以远程完成 （任何例外都将在下面的最低资格中列出）.我们的使命：积极连接人们到他们的下一个伟大的机会。我们是谁：ZipRecruiter 是一个领先的在线就业市场。由人工智能驱动的智能匹配技术支持，该公司通过创新的移动，网络和电子邮件服务以及与网上最好的工作板合作，积极连接数百万规模企业和求职者.ZipRecrutter 拥有 iOS&Android 上的排名第一的工作搜索应用程序。摘要：在 ZipRecruiter,一个数据的宇宙，充满了超过10亿个存档的工作位，数以千计的动态求职者以及无数的印象和点击事件，创新机会丰富。在这里，你的经验将用于创造新的，基于数据的功能，影响着数百万人的生活，连接他们到他们的梦想工作。我们正在应对令人兴奋的挑战：设想开发一种系统可以预测新工作位的工资，使用培训集中的工作位和已知的工资。但乐趣不止于建模。我们的工作包括深入的数据收集，清洁，分析和提取有意义的见解。关键重点：· 设计，开发和维护机器学习模型和算法来解决复杂业务问题 · 识别数据中的模式，趋势和异常情况，并使用适当工具可视化见解 · 使用适当的指标，验证技术和测试数据集评估机器学习模式的性能 · 发现通过调整超参数，规范选择或采用功能定制技术来优化模型的机会 最低资格：· 专业软件开发经验3年以上，重点是机器学习 · 机器学习算法，技术和最佳实践的深入经验 · 编码，对象导向编程，数据结构和算法的综合计算机科学基础知识 优先资格：· 专用软件开发专业5年以上，重于机器学习 • 数学，计算机科学，物理，相关技术领域或同等实践经验 · 对机器学习 алгорит姆 （例如线性回归，SVM,决策）的强大的知识
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We offer a hybrid work environment. Most US-based positions can alsobeperformed remotely (any exceptions will be noted in the Minimum Qualifications below.)
Our Mission:
To actively connect people to their next great opportunity.
Who We Are:
ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.
Summary:
At ZipRecruiter, where a universe of data, brimming with over a billion archived job postings, tens of millions of dynamic job seekers, and countless impression and click events, there’s plenty of opportunities for innovation. Here, your experience will be put to work crafting new, data-driven features that impact the lives of millions, connecting them to their dream jobs.
We're tackling exciting challenges: imagine developing a system that can predict salaries for new job postings, using a training set of job postings and known salaries. But the fun doesn't stop at model-building. Our work involves an immersive dive into data - gathering, cleaning, analyzing, and extracting meaningful insights.
Key Focuses:
- Design, develop, and maintain machine learning models and algorithms to solve complex business problems
- Identify patterns, trends, and anomalies in the data, and visualize insights using appropriate tools
- Assess the performance of machine learning models using appropriate metrics, validation techniques, and testing datasets
- Discover opportunities to optimize models by fine-tuning hyperparameters, feature selection, or employing regularization techniques to improve accuracy, performance, and scalability
Minimum Qualifications:
- 3+ year of professional software development experience with a focus in machine learning
- Deep experience in machine learning algorithms, techniques, and best practices
- Comprehensive computer science fundamentals in coding, object-oriented programming, data structures, and algorithms
Preferred Qualifications:
- 5+ year of professional software development experience with a focus in machine learning
- BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience
- Strong knowledge of machine learning algorithms (e.g., linear regression, SVM, decision trees, neural networks, clustering, etc.) and best practices
- Experience with machine learning algorithms and frameworks, such as TensorFlow, PyTorch, or scikit-learn
- Experience with deep learning architectures and techniques, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), and Generative Adversarial Networks (GANs)
- Background with NLP techniques and tools, such as tokenization, stemming, lemmatization, sentiment analysis, and named entity recognition, and libraries like NLTK, SpaCy, or BERT
As part of our team you’ll enjoy:
- Competitive compensation
- Exceptional benefits package
- Flexible Vacation & Paid Time Off
- Employer-matched 401(k) plan
The US base salary range for this full-time position is $140,000-$225,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.
Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.
ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics.
Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at:
Originally posted on Himalayas