机器学习算法工程师

该职位来源于猎聘 Machine Learning Algorithm Engineer 机器学习算法工程师

Shanghai 上海 Your Tasks

• Responsible for the development and application of machine learning and deep learning algorithms.
• Responsible for the development and performance optimization of AI-based intelligent driving scenario spatial analysis and dangerous scenario mining algorithms.
• Responsible for the research and selection of deep learning technology stacks and algorithms.
• Responsible for data processing related to algorithms.
• Responsible for the development and maintenance of AI product toolchains to improve the level of productization. 岗位职责:
• 负责机器学习及深度学习相关算法的开发和应用;
• 负责基于AI的智驾场景空间分析与危险场景挖掘算法的开发和性能验证优化;
• 负责深度学习相关技术栈及算法的预研和选型;
• 负责算法相关的数据处理;
• 负责AI产品工具链的开发和维护,提高产品化程度。 Your Skills:
• Full-time bachelor's degree or above in computer science, mathematics, or related fields, master's degree preferred.
• Familiar with Linux systems, proficient in deep learning frameworks such as TensorFlow and PyTorch.
• Familiar with basic classification algorithms such as logistic regression, random forest, decision tree, Bayesian, and SVM.
• Familiar with AI algorithms and their principles such as CNN, RNN, DBM, and AE.
• Familiar with the principles and implementation of supervised learning, unsupervised learning, and reinforcement learning.
• Good programming foundation, proficient in one or more of the following programming languages: Python, C/C++, SQL.
• Familiar with the use of git tools.
• Familiar with the use of relational and non-relational databases, such as MySQL and MongoDB.
• Familiar with backend frameworks such as FastAPI, Flask, or Django.
• Some understanding of intelligent driving algorithm simulation and verification.
• Preference given to those who have won technical competitions (e.g., Kaggle).
• Preference given to those who have published papers in the fields of deep learning, machine learning, or computer vision.
• Possess good communication skills, teamwork ability, and learning ability. 任职要求:
• 全日制本科及以上学历,计算机、数学或相关专业,硕士优先;
• 熟悉Linux系统,熟练掌握tensorflow,pytorch等深度学习框架;
• 熟悉逻辑回归、随机森林、决策树、贝叶斯、SVM等基础分类算法;
• 熟悉CNN、RNN、DBM、AE等人工智能算法及其原理;
• 熟悉有监督学习、无监督学习、强化学习等原理及实现;
• 具有良好编程基础,至少掌握以下编程语言的一种或多种:python、C/C++、SQL;
• 熟悉git类工具的使用;
• 熟悉关系型及非关系型数据库的使用,如Mysql及MongoDB;
• 熟悉FastAPI,Flask或Django等后端框架;
• 对智驾算法仿真验证有一定了解;
• 技术类竞赛(如kaggle)获奖者优先;
• 有深度学习/机器学习/计算机视觉等领域的论文发布者优先;
• 具备良好的沟通能力、团队协作能力与学习能力。 Our offer: Be more than a cog in the wheel. Take on responsibility. At IAV we entrust you with ever more important tasks one step at a time. Thanks to professional mentors, you're not on your own. You can grow with the project. You will be working with the big names in the mobility and research sectors. And through e.g. in-house seminars and conferences purposefully and continuously improve your qualifications. Diversity and equal opportunity are important to us. We care about the person as well as individual strengths and character.