职位详情
Machine Learning Software Developer Intern 机器学习软件开发实习
250-500/天
上海蓝载信息科技有限公司
上海
硕士
11-14
工作地址

宝龙公馆

职位描述

可以现场办公,也可以远程办公

Position Overview:

We are seeking are seeking a Machine Learning Software Developer to join our company.

The role primarily involves developing, implementing, and optimizing machine learning algorithms and models to produce production ready video game assets for a 2D side view game.

职位概述:

我们正在寻找一名机器学习软件开发人员加入我们公司。

这个角色主要涉及开发、执行和优化机器学习算法和模型,为2D侧视图游戏制作可生产的视频游戏资产。

Responsibilities:

-Develop and optimize the current machine learning algorithms and models.

- Conduct independent research from academic papers in order improve the current machine learning algorithms, especially if the work being done is experimental.

-Test, run, and optimize the stable diffusion models to produce desired outputs based on model ranking.

-Collaborate closely with relevant project departments, collect relevant data, sort out relevant datasets, conduct annotation training, and optimize and adjust datasets according to the training results.

-Improve the algorithm model, program the overall project logic all according to the algorithm and project requirements.

-Carry out project testing, joint commissioning and, deployment based on the project requirements.

-Improve the algorithm model and programs for the overall project logic according to algorithm and project requirements.

-Document code, algorithms, and methodologies to ensure reproducibility and knowledge sharing.

-Participate in code reviews, debugging, and troubleshooting to maintain high quality software development standards.

职责:

-开发和优化当前的机器学习算法和模型。

-从学术论文中进行独立研究,以改进当前的机器学习算法,特别是如果所做的工作是实验性的。

-测试,运行和优化稳定的扩散模型,以根据模型排名产生所需的输出。

-与相关项目部门紧密协作,收集相关数据,整理相关数据集,进行标注训练,并根据训练结果对数据集进行优化调整。

-完善算法模型,根据算法和项目要求编写项目整体逻辑。

-根据项目要求进行项目测试、联合调试和部署。

-根据算法和项目要求,完善整个项目逻辑的算法模型和程序。

-文档化代码、算法和方法,以确保再现性和知识共享。

-参与代码评审,调试和故障排除,以保持高质量的软件开发标准。

Requirements

-Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.

- If you do not have a degree, you must demonstrate that you have a track record or show your Github with the amount of coding you have completed for machine learning.

-Proficiency in programming languages such as C/C++,C#,Golang, Haskell or Lisp, etc.

-Proven experience in developing and optimizing machine learning algorithms and models.

-Strong understanding of stable diffusion models and their optimization techniques.

-Demonstrate ability to optimize different table diffusion models to produce desired outputs based on model ranking.

-Solid grasp of software development principles, including version control, testing, and debugging.

-Effect communication and collaboration skills, with the ability to work in a team environment.

-Capacity to manage multiple tasks and priorities in a fast-paced environment.

要求:

-计算机科学,工程,数学或相关领域的学士或硕士学位。

-如果你没有学位,你必须证明你有一个跟踪记录,或者展示你的Github与你已经完成的机器学习编码量。

-熟练掌握C/ c++, C#,Golang, Haskell, Lisp等编程语言。

-具有开发和优化机器学习算法和模型的经验。

-对稳定扩散模型及其优化技术有较强的理解。

-展示优化不同表扩散模型的能力,以根据模型排名产生期望的输出。

-扎实掌握软件开发原理,包括版本控制、测试和调试。

-良好的沟通和协作能力,具有团队合作精神。

-能够在快节奏的环境中管理多个任务和优先事项。

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