Senior Software Engineer - KnowledgeBase
Senior Software Engineer: KnowledgeBase
Join a pioneering robotics start-up as a Senior Software Engineer on the Robotic Reasoning team, where your expertise in AI/ML and KnowledgeBase systems will shape the future of intelligent robots.
In this critical role, you will focus on developing and maintaining advanced knowledge management systems that enhance the reasoning capabilities of robots.
Key Responsibilities:
* Research and implement innovative approaches to develop knowledge base and memory systems for robots, leveraging the latest research and technologies.
* Design and maintain scalable systems for knowledge management across Graph DB, Vector DB, NoSQL, and traditional database systems.
* Tackle challenges related to information storage and retrieval to optimize our systems.
* Contribute to the overall system architecture, ensuring robust cloud infrastructure for comprehensive logging and monitoring.
What We're Looking For:
* Master's degree or higher in Computer Science, AI, or a related field.
* Technical Expertise with RAG and LLM technologies and their applications in Knowledge Bases.
* Proficient in Python, with experience in semantic search, and information retrieval techniques.
* Knowledge of Transformers, RDF, LangChain, FAISS, Neo4J, VirtualHome, pgvector, or similar technologies is essential.
* Experience with semantic mapping and simulation tools.
Preferred Qualifications:
* Proficiency in ROS and semantic reasoning.
* AI-related publications.
Offices based in London - hybrid working.
Relocation opportunities available.
Competitive salary + benefits.
Join us as we reshape the future of robotics, creating AI-driven systems that revolutionise the way robots interact with the world.
If you're passionate about working on the latest AI technologies and eager to be part of a fast-paced, innovative team, we want to hear from you!
Piper Maddox is acting as an Employment Agency in relation to this vacancy.
Join a pioneering robotics start-up as a Senior Software Engineer on the Robotic Reasoning team, where your expertise in AI/ML and KnowledgeBase systems will shape the future of intelligent robots.
In this critical role, you will focus on developing and maintaining advanced knowledge management systems that enhance the reasoning capabilities of robots.
Key Responsibilities:
* Research and implement innovative approaches to develop knowledge base and memory systems for robots, leveraging the latest research and technologies.
* Design and maintain scalable systems for knowledge management across Graph DB, Vector DB, NoSQL, and traditional database systems.
* Tackle challenges related to information storage and retrieval to optimize our systems.
* Contribute to the overall system architecture, ensuring robust cloud infrastructure for comprehensive logging and monitoring.
What We're Looking For:
* Master's degree or higher in Computer Science, AI, or a related field.
* Technical Expertise with RAG and LLM technologies and their applications in Knowledge Bases.
* Proficient in Python, with experience in semantic search, and information retrieval techniques.
* Knowledge of Transformers, RDF, LangChain, FAISS, Neo4J, VirtualHome, pgvector, or similar technologies is essential.
* Experience with semantic mapping and simulation tools.
Preferred Qualifications:
* Proficiency in ROS and semantic reasoning.
* AI-related publications.
Offices based in London - hybrid working.
Relocation opportunities available.
Competitive salary + benefits.
Join us as we reshape the future of robotics, creating AI-driven systems that revolutionise the way robots interact with the world.
If you're passionate about working on the latest AI technologies and eager to be part of a fast-paced, innovative team, we want to hear from you!
Piper Maddox is acting as an Employment Agency in relation to this vacancy.
- Company
- Piper Maddox
- Location
- London, United Kingdom
Hybrid / WFH Options - Employment Type
- Permanent
- Posted
- Company
- Piper Maddox
- Location
- London, United Kingdom
Hybrid / WFH Options - Employment Type
- Permanent
- Posted