ML Engineer (Personalized Knowledge Graphs Focus) Offline

About EVE
EVE is building an automated scheduling agent for high performers. We create a deeper understanding of users by building their digital personas through tools like Email, IM, Calendar, and others. Our goal is to create a hyper-personalized contextual knowledge base, enabling closed-loop agents to automate tasks such as scheduling and meeting preparation.

Role Requirements

• At least 4 years of experience with machine learning in the NLP and knowledge graph space.
• Strong understanding of LLM-based technologies and frameworks for graph-based AI systems, such as LangGraph or similar orchestration tools.
• Proficiency in building and deploying models that generate and maintain personalized knowledge graphs.
• Experience in Python-based ML frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.
• Ability to design and maintain scalable pipelines for real-time data processing and personalized information retrieval.
• Strong focus on unit and integration testing, and familiarity with deployment processes and production observability.

What Makes You Successful in This Role

• Curiosity: A hunger to learn and adapt quickly to the rapidly evolving AI and graph technology landscape.
• Collaboration: Work closely with the CTO and tech leads to design and implement robust systems for personalized knowledge graphs.
• Innovation: Passion for creating innovative solutions that redefine user experiences through hyper-personalization.

What's In It for You

• The opportunity to be part of an innovative product in the AI and knowledge graph space.
• Hands-on learning and development with LLM-based technologies and graph AI frameworks.
• A collaborative work environment with experienced tech leaders.
• Competitive salary, remote flexibility, and growth opportunities.