xAI18.04.2026
Member of Technical Staff - Multimodal Understanding
Palo Alto
Обязанности
- 01Design, build, and optimize large-scale distributed systems for multimodal pre-training, post-training, inference, data processing, and tokenization at web/petabyte scale
- 02Develop high-throughput pipelines for data acquisition, preprocessing, filtering, generation, decoding, loading, crawling, visualization, and management (images, videos, audio + text)
- 03Advance multimodal capabilities including spatial-temporal compression, cross-modal alignment, world modeling, reasoning, emergent abilities, audio/image/video understanding & generation, real-time video processing, and noisy data handling
- 04Drive data quality and studies: curation (human/synthetic), filtering techniques, analysis, and scalable pipelines to support trillion-parameter models
- 05Create evaluation frameworks, internal benchmarks, reward models, and metrics that capture real-world usage, failure modes, interactive dynamics, and human-AI synergy
- 06Innovate on algorithms, modeling approaches, hardware/software/algorithm co-design, and scaling paradigms for state-of-the-art performance
- 07Build research tooling, user-friendly interfaces, prototypes/demos, full-stack applications, and enable rapid iteration based on feedback
- 08Work across the stack (pre-training → SFT/RL/post-training) to enable reasoning, tool calling, agentic behaviors, orchestration, and seamless real-time interactions
Требования
- 01Hands-on experience with multimodal pre-training, post-training, or fine-tuning (vision, audio, video, or cross-modal)
- 02Expert-level proficiency in Python (core language), with strong experience in at least one of: JAX / PyTorch / XLA
- 03Proven track record building or optimizing large-scale distributed ML systems (training/inference optimization, GPU utilization, multi-GPU/TPU setups, hardware co-design)
- 04Deep experience designing and running data pipelines at scale: curation, filtering, generation, quality studies, especially for noisy/real-world multimodal data
- 05Strong fundamentals in evaluation design, benchmarks, reward modeling, or RL techniques (particularly for interactive/agentic behaviors)
- 06Proactive self-starter who thrives in high-intensity environments and is passionate about pushing multimodal AI frontiers
- 07Willingness to own end-to-end initiatives and do whatever it takes to deliver breakthrough user experiences
Условия
- 01$180,000 - $440,000 USD Base salary
- 02Equity
- 03Comprehensive medical, vision, and dental coverage
- 04Access to a 401(k) retirement plan
- 05Short & long-term disability insurance
- 06Life insurance
- 07Various other discounts and perks