Machine Learning Engineer
hace 1 mes
About the Role
This is a unique opportunity to work on cutting-edge deep learning research and infrastructure as a Machine Learning Engineer at Imbue. As a key member of our research team, you will be responsible for developing and implementing innovative machine learning solutions to create general human-like machine intelligence.
Key Responsibilities
- Implement papers to improve areas of interest, such as automatically generating and iteratively refining code, outputting reasoning traces, and verifying or debugging code.
- Design and conduct scientifically rigorous experiments to analyze the failure modes and benefits of different techniques.
- Contribute to our data generation pipeline for creating instruction-tuning and evaluation data.
- Develop infrastructure for making fine-tuning and experimentation simpler, faster, and less error-prone.
- Work with our data and product engineers to identify areas of improvement from model results.
- Leverage our existing framework to perform hyperparameter sweeps, and maintain and contribute new features to the sweep code.
Requirements
- Very comfortable writing Python.
- Familiar with PyTorch and training deep neural networks.
- Passionate about engineering best practices.
- Self-directed and independent.
- Excellent at getting things done.
What We Offer
- Work directly on creating software with human-like intelligence.
- Flexible working hours.
- Time and budget for learning and self-improvement.
- Compensation packages are highly variable based on a variety of factors.
About Imbue
Imbue builds AI systems that reason and code, enabling AI agents to accomplish larger goals and safely work in the real world. We train our own foundation models optimized for reasoning and prototype agents on top of these models. By using these agents extensively, we gain insights into improving both the capabilities of the underlying models and the interaction design for agents.
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