Research Engineer: Foundation Models & Multimodal (Remote)

BairesDev; Chile; Presencial; CLP 109.689.000 - 164.534.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work

Competitive USD compensation

Hardware provided

Flexible hours

Parental leave

Mentorship and growth

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

Machine learning research

English proficiency

Strong math foundations

Educación

PhD or MS in CS/ML

Herramientas

PyTorch

JAX

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.