Senior Multimodal AI Engineer – Real-Time Intelligence

SpaceXSI

Palo Alto (CA)

On-site

USD 180,000 - 440,000

Full time

3 days ago
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Job summary

SpaceXSI in Palo Alto is seeking a Sr. Software Engineer for Multimodal Understanding to push toward superhuman capabilities across image, video, audio, and text.

You’ll work across the full stack—from data curation and tokenizer training to large‑scale pre-training and real-time product experiences. Design distributed systems, build high‑throughput data pipelines, and collaborate with cross‑functional teams to advance multimodal reasoning, world modeling, and agentic interactions.

Qualifications

  • Experience with multimodal pre-training, post-training, or fine-tuning (vision, audio, video, or cross-modal).

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

Skills

Python
JAX
PyTorch
XLA
Rust
C++
Distributed ML
Data pipelines
Evaluation design
RL techniques
Multimodal data
Real-time systems

Tools

Spark
Ray
Kubernetes

Job description

SpaceXSI in Palo Alto is seeking a Sr. Software Engineer for Multimodal Understanding to push toward superhuman capabilities across image, video, audio, and text.

You’ll work across the full stack—from data curation and tokenizer training to large‑scale pre-training and real-time product experiences. Design distributed systems, build high‑throughput data pipelines, and collaborate with cross‑functional teams to advance multimodal reasoning, world modeling, and agentic interactions.

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