Stability AI · 2 months ago
Research Scientist – VLM Generalist
United States
Full-time
Remote
Senior LevelStability AI is seeking a Research Scientist with expertise in training and fine-tuning large Vision-Language and Language Models. The role involves designing and optimizing models for multimodal tasks, collaborating with various teams, and publishing impactful research.
Artificial Intelligence (AI)Generative AIImage RecognitionInformation TechnologySoftware
Responsibilities
Design and fine-tune large-scale VLMs / LLMs — and hybrid architectures — for tasks such as visual reasoning, retrieval, 3D understanding, and embodied interaction
Build robust, efficient training and evaluation pipelines (data curation, distributed training, mixed precision, scalable fine-tuning)
Conduct in-depth analysis of model performance: ablations, bias / robustness checks, and generalisation studies
Collaborate across research, engineering, and 3D / graphics teams to bring models from prototype to production
Publish impactful research and help establish best practices for multimodal model adaptation
Qualification
Required
PhD (or equivalent experience) in Machine Learning, Computer Vision, NLP, Robotics, or Computer Graphics
Proven track record in fine-tuning or training large-scale VLMs / LLMs for real-world downstream tasks
Strong engineering mindset — you can design, debug, and scale training systems end-to-end
Deep understanding of multimodal alignment and representation learning (vision–language fusion, CLIP-style pre-training, retrieval-augmented generation)
Familiarity with recent trends, including video-language and long-context VLMs, spatio-temporal grounding, agentic multimodal reasoning, and Mixture-of-Experts (MoE) fine-tuning
Awareness of 3D-aware multimodal models — using NeRFs, Gaussian splatting, or differentiable renderers for grounded reasoning and 3D scene understanding
Hands-on experience with PyTorch / DeepSpeed / Ray and distributed or mixed-precision training
Excellent communication skills and a collaborative mindset
Preferred
Experience integrating 3D and graphics pipelines into training workflows (e.g., mesh or point-cloud encoding, differentiable rendering, 3D VLMs)
Research or implementation experience with vision-language-action models, world-model-style architectures, or multimodal agents that perceive and act
Familiarity with efficient adaptation methods — LoRA, adapters, QLoRA, parameter-efficient finetuning, and distillation for edge deployment
Knowledge of video and 4D generation trends, latent diffusion / rectified flow methods, or multimodal retrieval and reasoning pipelines
Background in GPU optimisation, quantisation, or model compression for real-time inference
Open-source or publication track record in top-tier ML / CV / NLP venues
Company
Stability AI
Stability AI is an artificial intelligence company focused on developing open-source generative AI models.
Founded in 2019
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$256MKey Investors
WPPIntel
2025-03-05Corporate Round
2024-06-25Series Unknown· $80M
2023-11-09Convertible Note· $50M
Leadership Team
Prem Akkaraju
CEO
Hanno Basse
Chief Technology Officer
Recent News
TechWire Asia
2026-01-09
Company data provided by crunchbase