中国僵尸片,亚洲欧美国产另类视频,亚洲精品无码人妻无码,亚洲有码转帖,亚洲欧美精品伊人久久,97精品依人久久久

可以現(xiàn)場辦公，也可以遠程辦公 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器學習軟件開發(fā)人員加入我們公司。 這個角色主要涉及開發(fā)、執(zhí)行和優(yōu)化機器學習算法和模型，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: -開發(fā)和優(yōu)化當前的機器學習算法和模型。 -從學術(shù)論文中進行獨立研究，以改進當前的機器學習算法，特別是如果所做的工作是實驗性的。 -測試，運行和優(yōu)化穩(wěn)定的擴散模型，以根據(jù)模型排名產(chǎn)生所需的輸出。 -與相關(guān)項目部門緊密協(xié)作，收集相關(guān)數(shù)據(jù)，整理相關(guān)數(shù)據(jù)集，進行標注訓練，并根據(jù)訓練結(jié)果對數(shù)據(jù)集進行優(yōu)化調(diào)整。 -完善算法模型，根據(jù)算法和項目要求編寫項目整體邏輯。 -根據(jù)項目要求進行項目測試、聯(lián)合調(diào)試和部署。 -根據(jù)算法和項目要求，完善整個項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)性和知識共享。 -參與代碼評審，調(diào)試和故障排除，以保持高質(zhì)量的軟件開發(fā)標準。 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： -計算機科學，工程，數(shù)學或相關(guān)領(lǐng)域的學士或碩士學位。 -如果你沒有學位，你必須證明你有一個跟蹤記錄，或者展示你的Github與你已經(jīng)完成的機器學習編碼量。 -熟練掌握C/ c++， C#，Golang, Haskell, Lisp等編程語言。 -具有開發(fā)和優(yōu)化機器學習算法和模型的經(jīng)驗。 -對穩(wěn)定擴散模型及其優(yōu)化技術(shù)有較強的理解。 -展示優(yōu)化不同表擴散模型的能力，以根據(jù)模型排名產(chǎn)生期望的輸出。 -扎實掌握軟件開發(fā)原理，包括版本控制、測試和調(diào)試。 -良好的溝通和協(xié)作能力，具有團隊合作精神。 -能夠在快節(jié)奏的環(huán)境中管理多個任務(wù)和優(yōu)先事項。