Hiring.Camp

Member of Technical Staff - Multimodal Understanding

X.AI

·

Apr 17, 2026

Apply
Salary
$180k – $440k
Location
Palo Alto, CA · Palo Alto, California, United States
Department
Engineering
Seniority
Senior
Source
Greenhouse

Description

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.

Skills

PythonRustKubernetesPyTorchSpark

Similar Jobs

30

Member of Technical Staff (Software Engineer, Enterprise Agent Evals & Efficiency)

Perplexity·New York City, New York +2

Today

Member of Technical Staff, Envoy Response

Envoy·San Francisco, California·Onsite

2d ago

Member of Technical Staff, FlashBlade

Purestorage·Mumbai, Maharashtra·Remote, Onsite

2d ago

Member of Technical Staff - DevOps

Purestorage·Mumbai, Maharashtra·Remote, Hybrid

2d ago

Member of Technical Staff, Applied Research

Embedding Vc·New York City, New York·Hybrid

3d ago

Member of Technical Staff (Software Engineer, Enterprise Trust & Governance)

Perplexity·London, England +4

3d ago

Member of Technical Staff [Platform]

RFS Group·Remote, Onsite

3d ago

Member of Technical Staff- FullStack

Careers Page·Bengaluru, Karnataka

3d ago

Member of Technical Staff, Frontier AI & Robotics (FAR)

Amazon

3d ago

Member of Technical Staff, Intern

Abridge·San Francisco, California·Onsite

4d ago

Member of Technical Staff - I, Technical Support

Mavenir·Gurugram, Haryana

4d ago

Senior Member of Technical Staff - GPU Driver

Aptiv·CAN Kanata, ON - WR

5d ago

Member of Technical Staff, Agentic AI Architect

Micron·Boise, Idaho·Remote

5d ago

Member of Technical Staff - Storage (Stockholm)

Modal·New York City, New York +1

5d ago

Member of Technical Staff, Real Time Video Streaming

Coram AI·Sunnyvale, California·Onsite

5d ago

Member of Technical Staff - Datacenter Networking

Primeintellect·San Francisco, California

5d ago

Member of Technical Staff - Storage Infrastructure

Primeintellect·San Francisco, California

5d ago

Member of Technical Staff - Post-Training (Reinforcement Learning & Generalization)

Cohere·New York City, New York +1·Remote

5d ago

Member of Technical Staff - Post-training (Data Infrastructure)

Cohere·New York City, New York +1·Onsite

5d ago

Member of Technical Staff, Agentic AI Architect

Micron Technology·US·Remote

5d ago

LMTS (Lead Member of Technical Staff)

Salesforce·Washington, US·Onsite

5d ago

R&D Member of Technical Staff - II

Aveva·Hyderabad, Telangana·Hybrid

5d ago

Member Of Technical Staff - Linux Application

Aptiv·CAN Kanata, ON - WR·Remote, Hybrid

6d ago

Member of Technical Staff (m/f/d)

Sereact GmbH·Zurich·Onsite

6d ago

Member of Technical Staff - Pre-Training Evals Infra

Reflectionai·London, England +2·Onsite

6d ago

R&D Senior Member of Technical Staff

Aveva·Hyderabad, Telangana +1·Hybrid

6d ago

R&D Senior Member of Technical Staff, Product Development

Aveva·Mumbai, Maharashtra·Hybrid

6d ago

Member of Technical Staff | Quantitative Finance

Poesis·Menlo Park·Hybrid

6d ago

Member of Technical Staff | Machine Learning

Poesis·Menlo Park·Hybrid

6d ago

Member of Technical Staff | Agentic AI

Poesis·Menlo Park·Hybrid

6d ago