Team8 Stealth Mode-Machine Learning Engineer / Researcher

We are an exciting stealth Enterprise software startup that has recently secured very significant seed funding from Team8, a leading venture capital firm in the space!

Joining us at this early stage offers a rare opportunity to play a pivotal role in shaping our success and making a lasting impact. We are on a mission to reshuffle IAM consumption and management. We are looking for brilliant, curious, creative, and team player individuals to join our dynamic team and help us build out our cutting-edge technology.

This is a unique opportunity to be part of our R&D team, utilizing and enhancing our cutting-edge LLM-based component.

Your role will include:

• Utilizing the LLM-based core component of our product.
• Defining and implementing machine learning algorithms and methods for data retrieval from other components to the core.
• Continuously enhance our product’s core analysis capabilities by advancing LLM prompt techniques.
• Building and utilizing an evaluation infrastructure for the LLM components in the product.
• Collaborating with cross-functional teams to integrate LLM solutions seamlessly into the product.
  
  

• 2+ years of hands-on experience in leveraging and deploying LLM models.
• Proven hands-on experience with deep learning and data science-related Python libraries such as Pandas/NumPy, and Tensorflow/PyTorch.
• Proven experience and deep understanding of LLM architecture, optimization, and prompting techniques.
• Experience in a scalable and performant serving of LLM-based systems in production.
• 5+ years of development experience.
• Strong understanding and hands-on experience with Python.
• Experience working on modern, high-scale, production-grade projects.
• Self-learning individual with problem-solving skills while acting as a team player.
• Ability to operate in a fast-paced startup environment, work under pressure, and handle urgent incidents.
  
  

• Experience with code analysis.
• Experience working at an early-stage startup.