Senior Machine Learning Engineer LLMs/Conversational AI (f/m/d)

clare&me Published: May 31, 2024
Location
Berlin, Germany
Job Type

Description

About us

  • We are a young startup based in Berlin.
  • Our vision is to close the gap between the need for therapy and insufficiently available psychotherapists using AI.
  • We develop Clare, the world's first AI-powered mental health coach, grounded in Cognitive-Behavioral Therapy (CBT)

The Challenge ️:

  • Take Clare to the next level leveraging LLMs and your strong experience in building ML systems
  • Drive the ML education in the team and establish a high standard of quality & ownership

What You Are Good At:

  • Software Engineering: You live up to coding best practices, test-driven development and clean code.
  • Highly experienced in Python, strong in a second language.
  • Crafting LLM-based Solutions: You excel at designing, building, and fine-tuning Language Model-based approaches (eg Mixtral, Llama-2) for natural language understanding and generation tasks.
  • Ownership and Product Impact: Your high level of ownership and passion for driving product impact guide you in delivering AI solutions that make a meaningful difference in people's lives.
  • Adept at navigating uncertainty: You thrive in situations that don't have clear solutions and require you to be hands-on and get things done.
  • Bonus: Experience with ML / LLMOps, including CI / CD

Your Profile

Expertise in LLMs and Stochastic Decision Making: You have 5 + years of experience in Machine Learning with a strong focus on LLMs / NLP and Sequential Decision-Making algorithms (e.g.g. Reinforcement Learning, Markov Decision Processes).

  • Up-To-Date on The Latest Updates on LLM Development & Research: From RAGs to Open-Source models over Agent Architectures you have an inherent drive to stay up-to-date on what is the latest and greatest!
  • Proven Track Record in Model Development: Your experience includes successfully developing and deploying LLM-based models for various NLP tasks in real-world applications.
  • Constructive Problem-Solving: As a natural problem-solver, you bring forward ideas that lead to practical solutions and contribute to product growth.

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