Development of Layer 2 and Layer 3 switches.
1. System bring up.
2. Device driver development.
3. Network function development.
4. Management function development.
5. Web application and network security function development.
【About the Team】
- We provide on-premise enterprise software with LLM-powered solutions, such as document searching, meeting assistent, fine-tuning and QA-driven application.
【About the Role】
We are looking for a self-motivated engineer who loves to solve core of machine learning and algorithm in an iterative and fast-moving environment. You will mainly focus on model training and inference part in our product.
In this role, you will
- Fine-tuning and evaluate local LLM model.
- Apply the latest ML techniques in our product.
- Collaborate with a cross-functional team of engineers, researchers, product managers, designers, and operations folks to create cutting-edge products
【Your background looks something like】
- 2+ years of relevant engineering experience at tech and product-driven companies
- Proficiency with Pytorch, TGI-like service and other training framework and inference technologies
- Proficiency with some backend language (we use Python mainly)
- Interest in API-design and backend (direct experience not required)
- Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
We anticipate the role being focus 60% on machine learning and 20% on backend API and 20% on other (infrastructure, docker, Kubernetes, CI)
【Mindset】
1. Be a feature team player and flexible to take tasks in whole delivering process e2e (survey, design, test and implementation)
2. Willing to embrace challenges and uncertainty
3. Strong ownership for company product source code