Software Engineer Student

Honeycomb is a rapidly expanding, well-funded startup committed to setting the benchmark for excellence in the InsureTech industry. Our foundation is built on cutting-edge technology, but our greatest asset is our exceptional team of professionals. By seamlessly integrating AI, state-of-the-art technology, and profound human expertise, each engineer at Honeycomb plays a pivotal role in shaping our trajectory.

Honeycomb is expected to cross $100M in annual sales in Q1 2024 while maintaining its strong and highly sustainable growth.

Join us and experience the tremendous impact you can make.

What You’ll Do

• Assist the AI team in all aspects of algorithm development, including code refactoring, data maintenance, and model deployment.
• Develop and implement machine learning pipelines for both production and research environments.
• Develop monitoring dashboards to visualize models’ impact in production.
• Develop a scalable and real time models execution system in production.
• Support machine learning operations (MLOps), ensuring seamless integration and efficient workflows.
  
  

• Currently enrolled in a university program in Computer Science, Electrical Engineering, Industrial Engineering, or a related field. 3rd-year or 4th-year student with strong academic standing.
• Proficiency in Python with a solid understanding of data structures, algorithms, and object-oriented programming.
• Familiarity with machine learning concepts; coursework in machine learning, deep learning, tabular data, or natural language processing is an advantage.
• Strong problem-solving skills, a team player with a positive attitude, and a demonstrated ability to work independently.
• Availability to commit to a position of 60% time or more.
• Ability to transition to a full-time position within one to two years.
  
  

• Previous experience with tools development
• Familiarity with the Python ecosystem- pandas, fastapi, dask, dagster and streamlit.
• A passion for innovation and creativity in a dynamic, fast-paced environment.
• Initiative and a proactive approach, with a drive to push forward projects and ideas without waiting for instructions.
• A natural curiosity and commitment to continually advancing your algorithmic and coding skills.