Qdrant is looking to solve the problem of unlocking the full potential of semantic search, recommendation systems, and real-time machine learning applications
Requirements
- Strong proficiency in Python
- Solid understanding of machine learning concepts, embeddings, and vector search
- Experience with at least one modern ML framework (e.g., PyTorch, TensorFlow, Hugging Face)
Responsibilities
- Design, develop, and optimize AI/ML features in Qdrant’s core engine and SDKs
- Prototype and implement integrations with popular ML frameworks (e.g., Hugging Face, OpenAI, LangChain)
- Analyze performance, identify bottlenecks, and implement scalable solutions in real-world AI pipelines
- Collaborate with product and engineering teams to define and deliver impactful features
- Support developers and users via GitHub, Discord, and other community channels
- Communicate complex technical concepts clearly in customer calls, demos, and onboarding sessions
Other
- Excellent communication skills; ability to explain technical topics to diverse audiences
- Prior experience contributing to open-source projects or engaging with developer communities
- Comfortable presenting and participating in public forums, events, or customer meetings
- Must be based in New York
