Vision-Language Models Jobs

Descript's Research team focuses on building specialized models for specific editing workflow problems, aiming to ship them as production features used by millions of creators. This role is centered on multimodal understanding, developing models that perceive edited media like a human video editor. The goal is to enhance Descript's AI editing agent, Underlord, by enabling it to directly perceive media, judge its own output, and reason about creative choices beyond just project structure. This is an open research problem with a unique dataset available.

$197k - $263k

Roboflow Labs is seeking a Research Scientist to join their applied research unit. This role sits at the intersection of benchmarks, models, and frontier labs, focusing on failure analysis, dataset specification, and validation of data quality. The scientist will contribute to publishing new benchmarks, extending existing ones like RF100-VL, and shaping the research agenda with work grounded in real-world deployments. This position offers the opportunity to see research directly translate into shipped data products and influence the direction of AI development.

$250k - $450k

Nunchux AI is building infrastructure to make multimodal generative AI faster, cheaper, and easier to build upon. We are seeking a Machine Learning Engineer focused on post-training and evaluation to enhance the efficiency and quality of visual generative models. In this role, you will develop and validate post-training techniques, curate and manage data pipelines for training and evaluation, and build robust evaluation systems to measure model performance. You will also benchmark models against industry standards, ensure quality, and integrate cutting-edge research into production workflows.

$180k - $250k

OpenAI

OpenAI is seeking a Researcher for the Chat and Multimodal Safety team to advance the safety of frontier AI models across text, vision, and audio modalities. This role involves shaping how models perceive and reason about the world, translating that understanding into safe behavior, and developing research, training methods, and evaluations for multimodal safety. The ideal candidate will combine deep technical expertise with strong safety judgment, bridging perception and language, and have experience with vision-language models, modality fusion, or safety for multimodal systems.

$380k - $500k

The Search algorithms team at Faire is seeking a Senior Applied ML/AI Scientist to contribute to the next generation of their search engine. This role involves owning components end-to-end, from problem framing and modeling to production code and experiment design. You will integrate cutting-edge technologies like LLMs, query understanding, dense vector retrieval, deep personalization embeddings, multi-stage ranking, and reinforcement learning to deliver personalized product feeds with low latency. The position requires shipping models to live traffic and using A/B tests to validate their effectiveness, while also raising the team's technical bar through design reviews and knowledge sharing.

$211k - $291k

As a Research Scientist on the Vision Language Model (VLM) team, you will be instrumental in advancing state-of-the-art multimodal foundation models. This role focuses on integrating visual understanding, reasoning, and agentic capabilities into large-scale VLM systems. You will engage in research and development covering model architectures, data strategies for pre-training and post-training, and evaluation benchmarks. The position blends advanced research with practical engineering, involving large-scale data processing, distributed training systems, and reinforcement learning for multimodal reasoning and agent development.

$150k - $450k

Scale AI

Scale AI is seeking a Technical Lead Manager for its Physical AI team, focusing on the development of general AI that can reason and act in the physical world. This role bridges cutting-edge Machine Learning research with physical robot deployment, leading a team of Research Engineers while remaining a hands-on technical contributor. The primary focus is on developing and evaluating Large-Scale Foundation Models, such as VLAs and World models, to enable robots and autonomous vehicles to generalize across diverse tasks and environments. The team leverages Scale's extensive data infrastructure to help build Foundation Models for Physical AI, aiming to redefine the future of automation.

$249k - $311k

Liquid AI, a rapidly scaling company spun out of MIT CSAIL, is building efficient, general-purpose AI systems for diverse enterprise applications. This role offers a unique opportunity to work at the forefront of vision-language models (VLMs) and their real-world deployment. You will take end-to-end ownership of applied VLM post-training for major enterprises, while also contributing to the company's core multimodal model development. This position allows you to shape the future of applied multimodal AI by focusing on visual understanding, data quality, evaluation, and production readiness.

Mistral AI

Mistral is on a mission to democratize AI by producing frontier intelligence for everyone, developed in the open and built by a global team. We are a dynamic, collaborative group passionate about AI's potential to transform society, with a diverse workforce distributed across Europe, the USA, and Asia. We focus on developing models for enterprise and consumers that can change business operations and integrate into daily lives, while also releasing frontier models open-source. We are hiring experts in large language model training and distributed systems to shape the future of AI.

Ambient.ai is seeking a Senior Applied Research Scientist to develop the next generation of foundation models for computer vision. This role involves full-cycle model development, from pre-training and fine-tuning on image-language data to applying distillation and compression techniques for deployment. You will work on multimodal models with state-of-the-art performance, directly impacting our mission to prevent security incidents. This is a hands-on, cross-functional position requiring collaboration with engineering and product teams.

$180k - $230k