Research Engineer: Foundation Models & Multimodal (Remote)
BairesDev
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Descripción de la vacante
BairesDev is seeking a Research Engineer to develop state-of-the-art foundation models and multimodal systems. You will lead exploration of novel ML methods, applying your strong mathematical background to push the boundaries of current technology.
Work is 100% remote with flexible hours and competitive compensation in USD or local currency. You will design and implement large-scale models using PyTorch or JAX and translate research into scalable components for diverse applications.
Formación
- PhD or MS in CS, ML, or related field.
- 4+ years of ML research or software engineering experience.
- Proven track record in foundation models, multimodal systems, or RL.
- Proficiency with PyTorch or JAX.
- Excellent English communication skills.
Responsabilidades
- Conduct original research to develop novel ML methods including RL, VLMs, and diffusion models.
- Design and implement large-scale foundation models and multimodal systems using PyTorch or JAX.
- Apply strong mathematical foundations to model architecture and training stability.
- Advance AI solutions through rigorous experimental design and implementation.
- Translate research into scalable ML components for diverse applications.
Conocimientos
Educación
Herramientas
Descripción del empleo
BairesDev is seeking a Research Engineer to develop state-of-the-art foundation models and multimodal systems. You will lead exploration of novel ML methods, applying your strong mathematical background to push the boundaries of current technology.
Work is 100% remote with flexible hours and competitive compensation in USD or local currency. You will design and implement large-scale models using PyTorch or JAX and translate research into scalable components for diverse applications.
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