SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity. The Imagine Model Team is a small, highly motivated group focused on engineering excellence, a flat organizational structure, hands‑on contributions, initiative, and strong communication. This role seeks a multimodal engineer to develop high‑fidelity AI experiences across image, video, and audio modalities, collaborating with product teams to push model frontiers and deliver exceptional end‑to‑end user experiences.
Member of Technical Staff - Imagine Model
Palo Alto, CA, United States; Seattle, WA, United States
Salary
USD 180,000 - 440,000
Requirements
Skills
- Track record in leading studies that significantly improve neural network capabilities and performance through better data or modeling
- Experience in data‑driven experiment designs, systematic analysis, and iterative model debugging
- Experience developing or working with large‑scale distributed machine learning systems
- 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
- Domain expertise 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 (audio/speech processing or music/audio generation experience is a plus where it supports video)
- Experience with agentic RL training, controllable/long‑horizon generation, or multimodal agents that reason and act across modalities (especially in visual domains)
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
Technologies
PythonJAXPyTorchRustC++SparkRayDistributed machine learning systems
Descubra se seu currículo está pronto para esta vaga
Veja como nossa IA pode otimizar seu currículo e aumentar suas chances de conseguir esta posição.