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Verified active · 12h ago

Member of Technical Staff - Multimodal Understanding

xAIxAI·Artificial Intelligence / Software

Compensation

$180,000 - $440,000 USD

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Posted

5 days

01

About the role

ABOUT xAI

xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

ABOUT THE ROLE:

You will join the multimodal team to push toward superhuman multimodal intelligence. Advance understanding and generation across modalities—image, video, audio, and text—spanning the full stack: data curation/acquisition, tokenizer training, large-scale pre-training, post-training/alignment, infrastructure/scaling, evaluation, tooling/demos, and end-to-end product experiences.

Collaborate cross-functionally with pre-training, post-training, reasoning, data, applied, and product teams to deliver frontier capabilities in multimodal reasoning, world modeling, tool use, agentic behaviors, and interactive human-AI collaboration. Contribute to building models that can see, hear, reason about, and interact with the world in real time at unprecedented levels.

RESPONSIBILITIES:

  • Design, build, and optimize large-scale distributed systems for multimodal pre-training, post-training, inference, data processing, and tokenization at web/petabyte scale.
  • Develop high-throughput pipelines for data acquisition, preprocessing, filtering, generation, decoding, loading, crawling, visualization, and management (images, videos, audio + text).
  • Advance 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.
  • Drive data quality and studies: curation (human/synthetic), filtering techniques, analysis, and scalable pipelines to support trillion-parameter models.
  • Create evaluation frameworks, internal benchmarks, reward models, and metrics that capture real-world usage, failure modes, interactive dynamics, and human-AI synergy.
  • Innovate on algorithms, modeling approaches, hardware/software/algorithm co-design, and scaling paradigms for state-of-the-art performance.
  • Build research tooling, user-friendly interfaces, prototypes/demos, full-stack applications, and enable rapid iteration based on feedback.
  • Work across the stack (pre-training → SFT/RL/post-training) to enable reasoning, tool calling, agentic behaviors, orchestration, and seamless real-time interactions.

BASIC QUALIFICATIONS:

  • Hands-on experience with multimodal pre-training, post-training, or fine-tuning (vision, audio, video, or cross-modal).
  • Expert-level proficiency in Python (core language), with strong experience in at least one of: JAX / PyTorch / XLA.
  • Proven track record building or optimizing large-scale distributed ML systems (training/inference optimization, GPU utilization, multi-GPU/TPU setups, hardware co-design).
  • Deep experience designing and running data pipelines at scale: curation, filtering, generation, quality studies, especially for noisy/real-world multimodal data.
  • Strong fundamentals in evaluation design, benchmarks, reward modeling, or RL techniques (particularly for interactive/agentic behaviors).
  • Proactive self-starter who thrives in high-intensity environments and is passionate about pushing multimodal AI frontiers.
  • Willingness to own end-to-end initiatives and do whatever it takes to deliver breakthrough user experiences.

PREFERRED SKILLS AND EXPERIENCE:

  • Experience leading major improvements in model capabilities through better data, modeling, algorithms, or scaling.
  • Familiarity with state-of-the-art in multimodal LLMs, scaling laws, tokenizers, compression techniques, reasoning, or agentic systems.
  • Proficiency in Rust and/or C++ for performance-critical components.
  • Hands-on work with large-scale orchestration tools such as Spark, Ray, or Kubernetes.
  • Background building full-stack tooling: performant interfaces, real-time research demos/apps, or end-to-end product ownership.
  • Passion for end-to-end user experience in interactive, real-time multimodal AI systems.

COMPENSATION AND BENEFITS:

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

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Aplyr's read

xAI is reshaping AI-driven scheduling and meeting management, attracting talent in cloud infrastructure and legal expertise for its innovative solutions.

Synthesized from recent postings & public sources

What's promising

  • xAI focuses on niche AI applications, enhancing productivity with automated scheduling.
  • Recent hiring in cloud infrastructure suggests growth and investment in robust technology.
  • Legal and commercial roles indicate a focus on compliance and strategic partnerships.

What to watch

  • Limited public information about financial health and market performance.
  • Potential over-reliance on a narrow product focus in a competitive AI landscape.
  • The AI scheduling market faces stiff competition from larger, established players.

Why xAI

  • xAI's specialization in meeting management automation sets it apart from broader AI firms.
  • The company's focus on legal and compliance roles highlights a proactive approach to regulation.
  • Hiring for diverse roles like BIM Manager and Commissioning Lead indicates a multidisciplinary approach.

Aplyr’s read is generated by AI from public sources. Was it useful?

03

About xAI

XAI (x.ai) is a technology company that specializes in artificial intelligence solutions, particularly focused on automating scheduling and meeting management.

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