Member of Technical Staff at xAI

Hybrid - Palo Alto, CA

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xAI, a small AI company located in Palo Alto, CA, is seeking a Member of Technical Staff to work on cutting‑edge research in large language models, machine learning, and related AI domains. The role involves stabilizing model training pipelines, designing and implementing technical solutions, and collaborating with leaders across the organization.

Salary

USD 324,000 - 396,000

Requirements

Skills

  • Bachelor’s or foreign equivalent degree in Computer Science, Computer Engineering, Mechanical Engineering, Machine Learning or a related field
  • 2 years of experience in a related computer‑related occupation
  • Experience with BigData systems such as Spark, Hadoop, BigQuery
  • Experience building large‑scale Kubernetes clusters for data storage, processing, and analysis on on‑prem and cloud systems
  • Applied machine learning techniques and deploying large‑scale deep learning systems
  • Experience working with distributed system engineers and AI researchers in natural language processing, computer vision, and speech recognition applications
  • Proficiency in Rust, C++, or Python programming languages to build tooling and features within company software
  • Experience building applications with hardware accelerators such as GPUs and TPUs from GCP, Azure, and AWS

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 in areas such as machine learning, applied data science, recommendation systems, and information retrieval systems
  • Telecommute as permitted

Technologies

SparkHadoopBigQueryKubernetesRustC++PythonGPUsTPUsGoogle Cloud PlatformMicrosoft AzureAmazon Web Services

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