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Large Multimodal Models In Jobs

604 open positions · Updated 1 week ago

Average salary (USD/year): 200k–302k/yr

Showing 20 of 604 positions

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Iambic Therapeutics

Join Iambic Therapeutics as a Machine Learning Scientist to innovate AI-based drug discovery with multimodal models.

Iambic Therapeutics UK Office Published 2 weeks ago
Flexible on stack
Iambic Therapeutics

Join Iambic Therapeutics as a Machine Learning Scientist to innovate AI-based drug discovery with multimodal models.

Iambic Therapeutics Boston Office Published 2 weeks ago
Flexible on stack
Mind Robotics

Join Mind Robotics as a Research & Modeling Engineer to build and train core models for real-world robotic systems.

Mind Robotics Palo Alto Published 7 months ago
AI-first team
Twelve Labs

Lead the development of next-generation multimodal models at Twelve Labs, impacting thousands of customers worldwide.

Twelve Labs Seoul, South Korea Published 1 week ago
Flexible on stack
Cantina

Join Cantina as a Research Scientist to develop next-generation video foundation models and shape the future of AI-driven creativity.

Cantina California $200k–$320k/yr Published 2 months ago
Pika

Join Pika as a lead Research Scientist to advance real-time multimodal foundation models for creative technology.

Pika Palo Alto HQ Published 4 months ago
Flexible on stack
Mirelo AI

Join Mirelo AI as a Research Scientist to develop cutting-edge multimodal models for audio generation in a rapidly growing company.

Mirelo AI Berlin Published 9 months ago
Flexible on stack 70% coding
Xaira Therapeutics

Join Xaira Therapeutics as an AI Scientist to develop multimodal foundation models for drug discovery using advanced AI techniques.

Xaira Therapeutics South San Francisco, California, United States $170k–$240k/yr Published 4 months ago
Flexible on stack
Cartesia

Join Cartesia as a Researcher in London to advance AI through innovative neural network architecture design.

Cartesia London Published 11 months ago
Flexible on stack
Cartesia

Join Cartesia as a Researcher to enhance multimodal models through innovative post-training methods and alignment techniques.

Cartesia *HQ - San Francisco, CA Published 10 months ago
Ambient

Join Ambient.ai as a Senior Applied Research Scientist to develop cutting-edge foundation models for computer vision in a hybrid work environment.

Ambient Redwood City Published 1 year ago
Flexible on stack 70% coding
Cantina

Join Cantina as a Machine Learning Engineer to develop cutting-edge speech and audio generation systems in a collaborative environment.

Cantina Remote (U.S. or Europe) $200k–$220k/yr Published 1 month ago
Flexible on stack 70% coding
Iambic Therapeutics

Join Iambic Therapeutics as a Machine Learning Scientist to fine-tune multimodal models for clinical prediction in drug discovery.

Iambic Therapeutics Boston Office Published 1 week ago
Flexible on stack
Cantina

Join Cantina as an ML Engineer in Singapore to build and scale systems for processing large-scale video and multimodal data.

Cantina Singapore Published 4 months ago
Flexible on stack
Tavus

Join Tavus as a Conversational Modelling Research Engineer to advance AI Humans through innovative multimodal conversational models.

Tavus Remote Published 4 months ago
Flexible on stack
Twelve Labs

Drive technical direction for training infrastructure and operations within Pegasus at a growing AI company focused on video understanding.

Twelve Labs Seoul, South Korea Published 1 week ago
Twelve Labs

Drive research on Pegasus's complex problems in a hybrid role at a growing AI company focused on video understanding.

Twelve Labs Seoul, South Korea Published 5 months ago
Flexible on stack
Cartesia

Lead a data team at Cartesia to enhance the quality of multimodal AI training data and infrastructure.

Cartesia *HQ - San Francisco, CA Published 1 month ago
Heavy meetings
Inworld AI

Join Inworld AI as a Staff/Principal Machine Learning Engineer to optimize and serve top-ranked realtime voice models.

Inworld AI Mountain View, California, USA $270k–$500k/yr Published 5 months ago
Flexible on stack
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