Remote Research Engineer - Foundation Models & Multimodal AI

BairesDev; Peru (IL); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

100% remote work

Flexible hours

Competitive compensation in USD

Job summary

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, leveraging a strong mathematical background to push the boundaries of current machine learning technology.

Responsibilities include designing large-scale models, implementing them with PyTorch or JAX, and translating research into scalable components for diverse applications.

Qualifications

• Candidate has advanced degree (PhD or MS) in Computer Science, Machine Learning, or a related field.
• Proven track record in research on foundation models, multimodal systems, or RL.
• Strong mathematical background and experience with advanced ML methods.
• Proficiency in English (advanced).

Responsibilities

• 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 solve architecture and training stability challenges.
• Advance AI solutions through rigorous experimental design and implementation.
• Translate theoretical research into functional, scalable ML components.

Skills

Machine Learning Research

Reinforcement Learning

Multimodal Systems

Mathematical Foundations

English Proficiency

Education

PhD or MS in CS/ML

Tools

PyTorch

JAX

Job description

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, leveraging a strong mathematical background to push the boundaries of current machine learning technology.

Responsibilities include designing large-scale models, implementing them with PyTorch or JAX, and translating research into scalable components for diverse applications.