可以現(xiàn)場(chǎng)辦公，也可以遠(yuǎn)程辦公

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.

職位概述:

我們正在尋找一名機(jī)器學(xué)習(xí)軟件開發(fā)人員加入我們公司。

這個(gè)角色主要涉及開發(fā)、執(zhí)行和優(yōu)化機(jī)器學(xué)習(xí)算法和模型，為2D側(cè)視圖游戲制作可生產(chǎn)的視頻游戲資產(chǎn)。

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.

職責(zé):

-開發(fā)和優(yōu)化當(dāng)前的機(jī)器學(xué)習(xí)算法和模型。

-從學(xué)術(shù)論文中進(jìn)行獨(dú)立研究，以改進(jìn)當(dāng)前的機(jī)器學(xué)習(xí)算法，特別是如果所做的工作是實(shí)驗(yàn)性的。

-測(cè)試，運(yùn)行和優(yōu)化穩(wěn)定的擴(kuò)散模型，以根據(jù)模型排名產(chǎn)生所需的輸出。

-與相關(guān)項(xiàng)目部門緊密協(xié)作，收集相關(guān)數(shù)據(jù)，整理相關(guān)數(shù)據(jù)集，進(jìn)行標(biāo)注訓(xùn)練，并根據(jù)訓(xùn)練結(jié)果對(duì)數(shù)據(jù)集進(jìn)行優(yōu)化調(diào)整。

-完善算法模型，根據(jù)算法和項(xiàng)目要求編寫項(xiàng)目整體邏輯。

-根據(jù)項(xiàng)目要求進(jìn)行項(xiàng)目測(cè)試、聯(lián)合調(diào)試和部署。

-根據(jù)算法和項(xiàng)目要求，完善整個(gè)項(xiàng)目邏輯的算法模型和程序。

-文檔化代碼、算法和方法，以確保再現(xiàn)性和知識(shí)共享。

-參與代碼評(píng)審，調(diào)試和故障排除，以保持高質(zhì)量的軟件開發(fā)標(biāo)準(zhǔn)。

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：

-計(jì)算機(jī)科學(xué)，工程，數(shù)學(xué)或相關(guān)領(lǐng)域的學(xué)士或碩士學(xué)位。

-如果你沒有學(xué)位，你必須證明你有一個(gè)跟蹤記錄，或者展示你的Github與你已經(jīng)完成的機(jī)器學(xué)習(xí)編碼量。

-熟練掌握C/ c++， C#，Golang, Haskell, Lisp等編程語言。

-具有開發(fā)和優(yōu)化機(jī)器學(xué)習(xí)算法和模型的經(jīng)驗(yàn)。

-對(duì)穩(wěn)定擴(kuò)散模型及其優(yōu)化技術(shù)有較強(qiáng)的理解。

-展示優(yōu)化不同表擴(kuò)散模型的能力，以根據(jù)模型排名產(chǎn)生期望的輸出。

-扎實(shí)掌握軟件開發(fā)原理，包括版本控制、測(cè)試和調(diào)試。

-良好的溝通和協(xié)作能力，具有團(tuán)隊(duì)合作精神。

-能夠在快節(jié)奏的環(huán)境中管理多個(gè)任務(wù)和優(yōu)先事項(xiàng)。