Six Figure Work

Sr. Model Engineer, Imagine

xAI

Company websitex.ai (xAI, opens in new tab)

Base salary $220K  to $357K

Employer-published annual base salary, USD. Advertised base range in Palo Alto, CA

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  • LocationPalo Alto, CA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (44 min ago) · observed since

About this job

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.

SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.

SR. MODEL ENGINEER, IMAGINE

As a multimodal engineer on the Imagine Model Team, you will develop cutting-edge AI experiences beyond text, with a strong focus on enabling high-fidelity understanding and generation across image and video modalities, while also incorporating audio where it enhances visual content (e.g., synchronized audio for video). Responsibilities span data curation, modeling, training, inference serving, and product integration, covering both pre-training and post-training phases. You will collaborate closely with product teams to push model frontiers and deliver exceptional end-to-end user experiences.

RESPONSIBILITIES:

  • Create and drive engineering agendas to advance multimodal capabilities, with emphasis on image and video generation, editing, understanding, controllable/long-horizon synthesis, agentic planning, RL training, and world simulation (including audio integration for richer video experiences)
  • Improve data quality through annotation, filtering, augmentation, synthetic generation, captioning, and in-depth data studies, particularly for visual and audio data
  • Design evaluation frameworks, metrics, benchmarks, evals, and reward models tailored to image/video/audio quality and coherence
  • Implement efficient algorithms for state-of-the-art model performance, including real-time inference, distillation, and scalable serving for visual content
  • Develop scalable data collection and processing pipelines for multimodal (primarily image/video-focused) datasets
  • Collaborate cross-functionally to integrate AI solutions into production and rapidly iterate based on user feedback

BASIC QUALIFICATIONS:

  • Experience writing production-quality code in Python, PyTorch, JAX, Rust, or C++
  • Experience in multimodal applications such as graphics engines, rendering techniques, image/video understanding and generation, world models, real-time simulation, or controllable/long-horizon visual content creation

PREFERRED SKILLS AND EXPERIENCE:

  • Experience in audio/speech processing or music/audio generation experience is a plus where it supports video
  • Experience in data-driven experiment designs, systematic analysis, and iterative model debugging
  • Experience developing or working with large-scale distributed machine learning systems
  • Experience with leading studies that significantly improve neural network capabilities and performance through better data or modeling
  • Ability to deliver optimal end-to-end user experiences
  • Hands-on contributor with initiative, excellence, strong work ethic, prioritization skills, and excellent communication
  • Experience in SFT, RL, evals, human/synthetic data collection, or agentic systems
  • Proficiency in Python, JAX/XLA, PyTorch, Rust/C++, Spark, Ray, and related large-scale frameworks
  • Experience with agentic RL training, controllable/long-horizon generation, or multimodal agents that reason and act across modalities (especially in visual domains)

COMPENSATION AND BENEFITS:

$220,000 - $357,000 USD

Base salary is just one part of our total rewards package at SpaceXSI, 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.

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

Source: xAI on Greenhouse · View original posting (opens in new tab)

This range next to 6 other live xAI roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live xAI roles with the nearest advertised base floor
RolePublished base
Sr. Model Engineer, Imagine (this listing)$220K - $357K
Corporate Counsel$220K - $260K
Sr. Model Engineer, Voice$220K - $357K
Sr. Software Engineer, Training/Inference (C++)$220K - $357K
Sr. Model Engineer, Multimodal Understanding$220K - $357K
Sr. Software Engineer, Kernels/CUDA (C++)$220K - $357K
Product Counsel$230K - $275K

Same $100K to $400K scale as every card. All xAI roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-11-07
Where this pay comes from

Location as the employer wrote it: Palo Alto, CA

$220,000 - $357,000 USD

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.