About Us
We are a dynamic, agile team dedicated to advancing AI technology. Our goal is to transform the landscape of large language models (LLMs) and make cutting-edge AI accessible to everyone.

- We thrive on innovation, collaboration, and a passion for problem-solving.
- Our culture fosters continuous learning and intellectual curiosity.
- Our diverse team is made up of talented individuals from across the globe.
- We offer a fully remote work setup, allowing you the freedom to work from anywhere.

Role Overview
As an LLM Research Engineer, you'll play a critical role in shaping the future of our AI technology:

- Lead the development and refinement of our state-of-the-art LLM systems.
- Work closely with our research team to drive innovation and breakthrough solutions.
- Participate in all stages of the LLM lifecycle, from ideation to implementation.

Key Responsibilities
- Develop and optimize advanced LLM architectures and training strategies.
- Conduct experiments aimed at pushing the limits of LLM performance.
- Write efficient, scalable code for LLM training and deployment.
- Build infrastructure and tools that enable rapid research and prototyping.
- Translate research insights into practical, real-world applications.
- Stay updated on the latest LLM research and contribute to advancements in the field.

Qualifications
- PhD in Computer Science, Machine Learning, or a related field, or equivalent industry experience.
- Strong expertise in deep learning, natural language processing, and LLMs.
- Hands-on experience with frameworks like PyTorch and TensorFlow.
- Knowledge of distributed computing and large-scale model training.
- A proven track record of contributions to research projects or published papers in AI/ML.
- Ability to work independently and manage tasks in a remote setting.
- Excellent communication and collaboration skills.
- Passion for pushing the frontiers of AI technology.

What We Offer
- The opportunity to work on revolutionary LLM technology.
- Fully remote working environment with flexible hours.
- Competitive salary and equity options.
- Virtual team-building activities and knowledge-sharing sessions.
- Support for ongoing learning and professional growth.
- A chance to make a significant impact in the fast-evolving field of AI.

To apply, please submit your resume along with your project portfolio and publication list.

We are proud to be an equal opportunity employer, celebrating diversity and committed to fostering an inclusive workplace for all employees.

Melwy

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