Model Engineer, Imagine - Multimodal AI & Vision

Maven Ventures

Palo Alto (CA)

On-site

USD 180,000 - 440,000

Full time

14 days+

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Job summary

SpaceXSI is building Super Intelligence to help humanity understand the universe. As a multimodal engineer on the Imagine Model Team, you will develop cutting-edge AI experiences beyond text, emphasizing image and video understanding and generation, with audio integration when it enhances content.

You will collaborate with product teams to push model frontiers and deliver end-to-end user experiences, spanning data curation, training, inference serving, and product integration.

Qualifications

  • Experience writing production-quality code in Python, PyTorch, JAX, Rust, or C++.
  • Experience with large-scale distributed machine learning systems.
  • Experience leading studies that 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 and strong communication.
  • Experience in SFT, RL, evals, human/synthetic data collection, or agentic systems.
  • Proficiency in Python, JAX/XLA, PyTorch, Rust/C++, Spark, Ray.
  • Domain expertise in multimodal applications such as graphics engines, rendering techniques, image/video understanding and generation.

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

Skills

Python
PyTorch
JAX
Rust
C++
Spark
Ray
Multimodal AI

Tools

PyTorch
JAX
Rust
C++
Spark
Ray
Python

Job description

SpaceXSI is building Super Intelligence to help humanity understand the universe. As a multimodal engineer on the Imagine Model Team, you will develop cutting-edge AI experiences beyond text, emphasizing image and video understanding and generation, with audio integration when it enhances content.

You will collaborate with product teams to push model frontiers and deliver end-to-end user experiences, spanning data curation, training, inference serving, and product integration.

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