![Stealth AI Startup](https://media.trabajo.org/img/noimg.jpg)
Senior Research Engineer
2 weeks ago
We are an early-stage and well-funded start-up developing new products at the intersection between decentralization and artificial intelligence. Our goal is to push the boundaries of large scale model training in truly decentralized and permissionless environments.
Job Description:
We are seeking a passionate and talented Machine Learning Research Engineer to join our growing team. Your main focus will be to fine-tune large-scale models (LLM's, federated learning, etc) in a truly decentralized environment.
You will work as part of our founding team to develop, implement, and optimize machine learning models that drive our innovative products and services.
Key Responsibilities:
Fine-tune large language models (LLMs) for specific tasks and applications in a decentralized AI framework.
Collaborate with cross-functional teams to integrate and deploy LLMs into various products and services.
Conduct research and experiments to advance the state-of-the-art in decentralized AI and machine learning.
Develop and implement algorithms to improve the performance, scalability, and efficiency of our AI solutions.
Stay up-to-date with the latest advancements in AI, machine learning, and decentralized technologies.
Qualifications:
Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
Proven experience in fine-tuning and deploying large language models (LLMs) such as GPT, BERT, or similar.
Strong understanding of machine learning algorithms, deep learning frameworks, and natural language processing.
Proficiency in programming languages such as Python, with experience in ML libraries and frameworks (e.g., TensorFlow, PyTorch).
Experience with decentralized systems and blockchain technology is a plus.
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