Job Description:
As a Machine Learning Engineer at Structify, you will play a pivotal role in changing the way people research on the Internet. You will develop sophisticated knowledge graphs and personalized AI agents. You'll collaborate closely with a dynamic team of engineers and entrepreneurs to drive the evolution of our platform
Key Responsibilities:
• Algorithm Development:
• Design, implement, and optimize machine learning algorithms to automate web scraping.
• Develop and deploy AI agents for maintaining knowledge graphs, ensuring efficiency and accuracy.
• Knowledge Graphs:
• Build and maintain knowledge graphs that dynamically update based on real-time data and user interactions.
• Implement techniques to enhance the personalization of knowledge graphs for individual users.
• Data Integration:
• Work closely with data engineering teams to integrate diverse data sources into the machine learning pipeline.
• Ensure seamless connectivity between AI agents and external databases for continuous learning.
• Model Training and Evaluation:
• Train, fine-tune, and evaluate machine learning models to improve performance and adaptability.
• Implement monitoring systems to ensure the reliability and robustness of AI agents.
• Collaboration:
• Collaborate with cross-functional teams to understand product requirements and translate them into technical solutions.
• Participate in code reviews and knowledge-sharing sessions to foster a collaborative development environment.
Qualifications:
• Educational background Computer Science, Machine Learning, or a related field.
• Strong proficiency in Rust or other programming languages (Python, Java, etc.).
• Experience in developing and deploying AI solutions in real-world applications.
• Knowledge of vector and graph databases.
• Familiarity with natural language processing (NLP) and data scraping techniques.
• Strong problem-solving skills and the ability to work in a fast-paced, dynamic startup environment.
We know not every application will meet all of the above, so we encourage you to apply if you think you'd be a good fit. We're all about building a genuine team of smart engineers who care about reshaping the future of research and knowledge discovery as much as we do
