Machine Learning Engineer at innovative AI platform

Join an innovative AI platform as a Machine Learning Engineer, tackling diverse and unconventional ML problems. This remote, asynchronous, part-time role offers clear structure and measurable outcomes, allowing you to set your own hours while making a significant impact on cutting-edge machine learning solutions.

innovative AI platform

• Draft detailed natural-language plans and code implementations for machine learning tasks.
• Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments.
• Identify failure modes and apply golden patches to LLM-generated trajectories for machine learning tasks.

• 0-2 years as a Machine Learning Engineer or a PhD in Computer Science (ML coursework required).
• Proficiency in Python and key ML libraries (XGBoost, Tensorflow, scikit-learn, etc.).
• Strong experience in data preparation and model training.

• Tackle diverse and unconventional machine learning problems in a flexible, part-time setting.
• Thrive in a remote, asynchronous environment with clear structure and measurable outcomes.
• Contribute to cutting-edge AI solutions within a forward-thinking platform.