About the job
Introduce innovative techniques and analyses to the AI field to facilitate breakthroughs in quantitative reasoning and language understanding. Stabilize large language model training, pipeline parallelism training of large language models, and fine-tuning large language models with truthful data. Ensure organization’s work is aligned with broader company objectives. Spend time working on hands-on technical problems including design and implementation. Perform cutting-edge research on advanced techniques from AI and deep learning, including neural network architectures, language modeling, and speech recognition. Work closely with leaders across the company to deliver impactful projects which may involve work in areas such as machine learning, applied data science, recommendation systems, and information retrieval systems.
Responsibilities
Introduce innovative techniques and analyses to the AI field to facilitate breakthroughs in quantitative reasoning and language understanding.
Stabilize large language model training, pipeline parallelism training of large language models, and fine-tuning large language models with truthful data.
Ensure organization’s work is aligned with broader company objectives.
Spend time working on hands-on technical problems including design and implementation.
Perform cutting-edge research on advanced techniques from AI and deep learning, including neural network architectures, language modeling, and speech recognition.
Work closely with leaders across the company to deliver impactful projects which may involve work in areas such as machine learning, applied data science, recommendation systems, and information retrieval systems.
Qualifications
Minimum
Bachelor’s or foreign equivalent degree in Computer Science, Computer Engineering, Mechanical Engineering, Machine Learning or in a related field
2 years of experience in the job offered or in a computer-related occupation
Preferred
No preferred qualifications listed.