AI/ML运维工程师 (MLOps工程师)
AI/ML Operations Engineer (MLOps Engineer)
这是一份远程工作。
Fableys Vision
Fabley 的愿景是所有未来的娱乐都将由 AI 生成，并个性化以创造人类体验的巅峰。如今，我们正在为这样的未来建立负责任的基础。
初创文化与 AI
我们是一个小团队，希望对世界产生巨大的影响。我们非常希望能欢迎你加入我们的努力。热情、自我学习以及在技术前沿工作的乐趣是必不可少的。你将在一个积极进取的团队中工作，你的意见将被高度重视。你必须愿意根据需要加班和周末工作。你将完全远程工作，并且必须接受时间跟踪，包括截图。
生成式 AI 将永远改变我们的世界，我们必须做对。你将使用最前沿的 AI 技术，其中一些可能是你自己引入的。Fabley 将秉持“如果事情没有失败，说明我们创新得还不够快”的信条。准备好构建一个解决方案，然后它可能被新发布的技术取代。
原型演示视频
AI/ML 运维工程师
作为 AI/ML 运维工程师，你将负责托管、推理和微调我们的 AI 模型，无论是图像生成模型、LLM、TTS 模型还是视频生成模型。你在公司中的角色至关重要，因为 Fabley 依赖这项核心技术。对新 AI 研究及其应用的热情对于这个职位来说至关重要。
职责
- 寻找方法让 Fabley 的愿景成为现实
- 通过云计算托管 AI 模型（如 Stable Diffusion（例如 CivitAI）、LLM、TTS）
- 通过用户输入（例如点赞或点踩）微调模型
- 提高推理速度和 API 响应速度
- 监控并优化云计算成本
基本要求
- 计算机科学、工程、数学或 STEM 相关专业的学士学位；或者没有学位但有 4 年以上软件开发的从业经验
- 开发并部署过在实际应用和项目中使用的软件
- 具备强大的调试、性能优化和单元测试技能
- 有以下任何经验：机器学习、训练和微调 AI 模型、在云 GPU 上运行推理（如 LambdaLabs 或类似平台）
优先技能和经验：
- LangChain（或类似工具）、向量数据库、Stable Diffusion
薪酬
你的基本薪资将根据具体情况确定，可能会因情况而异
查看英文原文
This is a fully remote job.
Fableys Vision
Fabley was founded on the vision that all future entertainment will be AI-generated and personalized to create the peak human experience. Today, we are building a responsible foundation for such a future.
Startup Culture and AI
We are a small team that wants to make an outsized impact on the world. And we would love to welcome you to join us in that effort. Passion, self-learning, and joy from working at the forefront of technology are a must. You will work in a driven team, and your input will be highly valued. You must be willing to join us in working extended hours and weekends as needed. You will work fully remotely and must be okay with time-tracking, including screenshots.
Generative AI will change our world forever, and we need to get it right. You will work with the most cutting-edge AI technology, some of which you might introduce yourself. Fabley will live by the motto, If things are not failing, we are not innovating fast enough. Be prepared to build a solution just to have it be replaced by newly released technology.
Prototype Demo Video
AI/ML Operations Engineer
As an AI/ML Operations Engineer, you will be responsible for hosting, inference, and fine-tuning our AI models, whether those are image generation, LLMs, TTS models, or video generation models. Your role in the company is crucial, as Fabley depends on this core technology. An excitement for new AI research and its applications is crucial for this role.
Responsibilities
- Find ways to make the Fabley vision come to life
- Host AI models (Stable Diffusion (e.g. CivitAI), LLM, TTS) via Cloud Computing
- Fine-tune models via user input (e.g. up- or downvotes)
- Increase the speed of inference and API responses
- Monitor and optimize cloud computing costs
Basic Requirements
- Bachelor's degree in computer science, engineering, math, or STEM discipline; OR 4+ years of professional experience in software development instead of a degree
- Developed and deployed software that has been used in real-world applications and projects
- Strong skills in debugging, performance optimization and unit testing
- Experience with any of the following: machine learning, training and fine-tuning AI models, running inference on cloud GPUs (LambdaLabs or similar)
Preferred Skills and Experience:
- LangChain (or similar), vector databases, Stable Diffusion
Compensation
Your base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience.
Originally posted on Himalayas