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Senior Deep Learning Engineer
1 month ago
We are seeking a highly skilled Senior Deep Learning Engineer to join our team at Unreal Gigs. As a member of our research team, you will play a crucial role in advancing deep learning research and developing general human-like machine intelligence.
About the RoleAs a Senior Deep Learning Engineer, you will be responsible for implementing various research papers to improve architecture efficiency, training speed, loss metrics, and fine-tuning methods. You will also design and conduct scientifically rigorous experiments to validate the effectiveness of proposed adjustments for solving Imbue's target problems using LLMs.
Key Responsibilities- Research Implementation: Implement improvements from recent research papers to enhance model architecture and training methods.
- Experimental Design: Devise and conduct experiments to test the impact of new techniques on LLM performance.
- Fundamental Understanding: Enhance your knowledge of LLM fundamentals, focusing on areas such as chain-of-thought, reasoning, generalization, hallucination, and grokking.
- Hyperparameter Optimization: Utilize our existing framework to perform hyperparameter sweeps, and contribute to the development of new features for the sweep code.
- Infrastructure Collaboration: Work with infrastructure engineers to develop monitoring systems, informative logging, and maintenance guides for long-running experiments.
- Dataset Improvement: Collaborate with data and product engineers to identify and implement improvements in our training and evaluation datasets.
- Python Proficiency: Highly comfortable writing Python code.
- PyTorch Experience: Familiar with PyTorch and experienced in training deep neural networks.
- Open Source Enthusiasm: Excited to work on and contribute to open-source projects.
- Best Practices: Passionate about engineering best practices and maintaining high-quality code standards.
- Self-Direction: Able to work independently and manage your own tasks effectively.
- Execution Excellence: Demonstrated ability to get things done efficiently and effectively.
The salary for this position is estimated to be between $175,000 and $325,000 annually, depending on experience. We offer a comprehensive benefits package, including health insurance, retirement plans, paid time off, professional development opportunities, flexible work arrangements, parental leave, wellness programs, employee assistance programs, stock options, commuter benefits, technology stipends, and company events.