Junior AI Engineer
🎨 Opus is the world's No.1 AI video agent for social media.
Backed by DCM, Fellows Fund, AI Grant, and many other institutional investors, we are building a fully distributed global team and a universal product. As one of the world's fastest growing AI startups, we have 5+ million users in just over 7 months after the launch.
More information: https://www.linkedin.com/company/opusclip
Try the product: https://www.opus.pro
Company core values: Competitive innovation & Relentless Execution
Our engineering culture is centered around several core values
- Customer obsession. We go through UX feedback and bugs from our users daily, and continuously prioritize and address them within as soon as 2 days.
- Debriefing. We value the radical, transparent debriefing culture of a battlewise army to learn and grow from previous projects.
- Over communication. We encourage everyone to over share key updates and risks as we believe that key information is easily lost during meetings and conversations in a globalized team.
- Craftsmanship. We improve craftsmanship together through shared learnings such as Clean Code, Agile Principles and AI sharing.
- Our tech stack: GCP, Typescript, Python, Redis/MongoDB/Cloud Storage, Kubernetes, lots of AI models
Your responsibility
- Collaborate with our team to build and optimize a language model pipeline for video understanding using prompt engineering, fine-tuning, and other creative techniques
- Design and deliver state-of-the-art NLP/CV models or features to improve product performance in understanding videos
- Conduct research and demos with cutting-edge LLMs exploration and applications
Qualifications
- Bachelor's degree or above in computer science or related fields
- Less than 2 years of work experience or fresh graduates are also welcome
- Fluent in verbal, written, and technical English
- Solid programming skills in Python, C++, or JavaScript
- Proficient in PyTorch or TensorFlow
- Experienced in areas in one of the below:
- Video understanding.
- LLM fine-tuning/multimodal systems.
- Prompt Engineering & RAG
- Enthusiastic, excellent communicator, self-motivated, and possessing a sense of ownership.
Preferred
- Experience in building products from the ground up
- Strong coding skills
- Passionate about the future with GPT-x, experience in building APIs/services/open-source with ChatGPT is highly preferred
- Projects completed or Research papers published in one of the following areas:
- Video understanding
- LLMs finetuning/multi-modals
- Prompt Engineering
- Publications or papers submitted in top-tier conferences, such as ACL, EMNLP, CVPR, ICCV, ICLR, NeurIPS, KDD, AAAI, etc.
Base: Shanghai, China
Interested? Submit your resume to " maggie.wang@opus.pro"