Member of Technical Staff

xAI xAI · AI Frontier · Palo Alto, CA · Engineering

xAI is seeking a Member of Technical Staff to build collaborative relationships, define vision and strategy, and deliver impactful projects. The role involves hands-on technical problems, cutting-edge research in AI and deep learning (neural network architectures, language modeling, speech recognition), and working on large language model training, pipeline parallelism, and fine-tuning with truthful data. The position also involves identifying technological differentiation, mentoring senior leaders, and driving innovation in quantitative reasoning and language understanding.

What you'd actually do

  1. Working on hands-on technical problems including design and implementation.
  2. Perform cutting-edge research on advanced techniques from AI and deep learning, including neural network architectures, language modeling, and speech recognition.
  3. 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.
  4. Introduce innovative techniques and analyses to the AI field to facilitate breakthroughs in quantitative reasoning and language understanding.
  5. Provide mentorship and guidance to senior technical leaders and managers.

Skills

Required

  • Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Information Technology, or a related field, plus 5 years of progressive post-baccalaureate experience in AI/ML research or development.
  • Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Information Technology or a related field, plus 3 years of experience in AI/ML research or development.
  • Developing and applying AI models, including large language models, neural networks, or reinforcement learning.
  • Experience in Python and other relevant languages (such as C++, Java), using ML frameworks (such as PyTorch, TensorFlow, or JAX).
  • Assessing system performance and designing scalable, efficient solutions for inference and model deployment.
  • Optimizing computational efficiency and memory usage through advanced algorithmic techniques or quantization.
  • Building and maintaining robust, high-availability infrastructure for AI/ML services.
  • Collaborating with cross-functional teams to define technical vision, strategy, and deliver impactful projects.
  • Mentoring and guiding senior technical leaders and managers in hands-on technical problem solving.
  • Driving innovation by introducing new techniques and analyses to advance AI capabilities in quantitative reasoning and language understanding.
  • Leading efforts in resource management, automation, and orchestration for large-scale ML infrastructure.

What the JD emphasized

  • large language model training
  • fine tuning large language models
  • advanced techniques from AI and deep learning
  • neural network architectures
  • language modeling
  • speech recognition
  • recommendation systems
  • information retrieval systems
  • quantitative reasoning
  • language understanding
  • Mentoring and guiding senior technical leaders and managers
  • Driving innovation by introducing new techniques and analyses to advance AI capabilities

Other signals

  • large language model training
  • fine tuning large language models
  • advanced techniques from AI and deep learning
  • neural network architectures
  • language modeling
  • speech recognition
  • recommendation systems
  • information retrieval systems