Sr. Model Engineer, Voice

Palo Alto, CAfull timeOn Site

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senior

$220k–$357k

H1B: no

xAI The Sr. Model Engineer, Voice at xAI develops cutting-edge multimodal AI experiences focusing on image, video, and audio integration. Responsibilities include data curation, modeling, training, inference serving, and product integration across pre- and post-training phases.

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

Qualification

Hands-on contributor with initiativeExperience in SFTProficiency in Python

Required

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

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

Benefits

Dental
Vision
401(k)
Equity/RSU
Life Insurance

Company

xAI

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Source: greenhouse

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