Remote Otter LogoRemoteOtter

Machine Learning Engineer / Python Developer - Remote

Posted 1 week ago
Software Development
Full Time
Germany

Overview

We are developing Qdrant, an open-source vector database that enables developers to use cutting-edge, blazing-fast vector similarity search technology. Our flagship product is the open-source Vector Similarity Search Engine: https://github.com/qdrant/qdrant. Our mission is to provide a scalable, cost-effective, open-source solution that simplifies the development of applied-AI applications. We are a fast-growing startup, and we are looking for a Middle+/Senior Machine Learning engineer to join our team.

In Short

  • Work on Python-based libraries that extend the Qdrant ecosystem.
  • Develop tools to assist other developers and ML engineers.
  • Contribute to an open-source project shaping the future of AI.
  • Engage in practical task-oriented interviews.
  • Enjoy a fully remote and timezone-friendly working environment.

Requirements

  • Proven Python experience of 3+ years, including multiprocessing, PyTorch, Pydantic, etc.
  • Experience with model inference in production (ONNX, triton, tensor-rt, etc.).
  • Practical experience with developing vector search applications.
  • Familiarity with Machine Learning concepts like embeddings, metric learning, LLMs.
  • Nice to have: experience with low-level programming languages like Rust.
  • Open-source contributions.

Benefits

  • Engage in Open-Source Development: Be part of a dynamic team working on an open-source project that shapes the future of AI.
  • Innovate in AI Technology: Contribute to building a critical component of the modern AI stack, influencing the direction of cutting-edge technology.
  • Fully Remote & Timezone-Friendly: Enjoy the flexibility of a full-remote position, accommodating diverse time zones for optimal work-life balance.
Qdrant logo

Qdrant

Qdrant is an innovative technology company that specializes in open-source vector databases tailored for next-generation AI applications. Their platform facilitates high-performance vector similarity search, enabling users to extract deep insights from unstructured data. By providing both open-source software and managed cloud solutions, Qdrant empowers developers and enterprises to effortlessly create scalable, AI-driven search and recommendation systems.

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