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XA
Member of Technical Staff
xAI · Palo Alto, United States
About The Role
Join <X.AI> LLC, a cutting-edge AI company based in Palo Alto, CA. As a Member of Technical Staff, you will be at the forefront of AI innovation, working on advanced techniques in quantitative reasoning and language understanding. You will stabilize large language model training, ensure alignment with company objectives, and perform hands-on technical work. This position offers comprehensive health insurance, flexible vacation, visa sponsorship, and a 401(k) plan.
- 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.
- Perform cutting-edge research on advanced techniques from AI and deep learning, including neural network architectures, language modeling, and speech recognition.
- The position requires a Bachelor’s or foreign equivalent degree in Computer Science, Computer Engineering, Mechanical Engineering, Machine Learning or in a related field and 2 years of experience in the job offered or in a computer-related occupation
- Building applications with hardware accelerators, such as GPUs, TPUs from GCP, Azure, and AWS.Employment and background checks may be required
- Applied machine learning techniques and deploying large-scale deep learning systems 4. Working with distributed system engineers and AI researchers in developing technologies in the area of natural language processing, computer vision, and speech recognition applications 5. Rust, C++, or Python programming language to build tooling and features within company software development code and standards
- Special Requirements: Position requires experience, knowledge or coursework in each of the following skills:
- Building large-scale Kubernetes clusters for data storage, processing, and analysis on on-prem systems and cloud computing
- BigData systems such as Spark, Hadoop, BigQuery, and related technology to build highly scalable data processing systems
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