Sr. Model Engineer, Imagine
Palo Alto, CAJob$220–357K/yrPosted todayStill listed today
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Job overview
The Senior Model Engineer will develop multimodal AI experiences for the Imagine Model Team, focusing on image and video understanding and generation, with audio integrated where it enhances visual content. The role spans data curation, modeling, training, inference serving, and product integration across pre-training and post-training, collaborating with product teams to advance model capabilities and deliver end-to-end user experiences.
Skills & qualifications
Skills
Benefits
Full job description
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.
How this job compares
Set against the 6,257 open Machine Learning Engineer jobs on Olive Jobs, counted November 7, 2026.
- Pay
- This posting$220–357K/yr
- California median$180–262K/yr1,445 salary ranges
- US median$150–245K/yr5,095 salary ranges
This range's midpoint, $289K, is 28% above the California median midpoint ($225K) — in the top quarter of Machine Learning Engineer salary ranges in California.
- Openings
- Olive Jobs lists 1,921 open Machine Learning Engineer jobs in California and 6,257 across the US. 9% of them nationwide are listed as remote or flexible.
- Experience
- Machine Learning Engineer postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 7 years (5,037 postings).
- Education
- 2,109 of the 6,257 open Machine Learning Engineer jobs (34%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 7, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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