Research Engineer/Research Scientist (AI)

TL;DR

Research Engineer/Research Scientist (AI): Identify and translate emerging AI and scientific concepts into working prototypes, owning the full journey from theoretical formulation to implementation and evaluation. Focus on developing rigorous methodologies for new mathematical approaches and driving high-impact research that transforms scientific insights into tangible value across multiple industries.

Location: Remote (Mexico City, Mexico)

Company

hirify.global provides a complete cloud analytics and data platform for AI, empowering customers with harmonized data and trusted AI to make better, more confident decisions across various industries.

What you will do

• Identify emerging research opportunities at the intersection of advanced AI, mathematics, and domain science.
• Translate complex scientific concepts into working prototypes, from theoretical formulation to implementation and evaluation.
• Develop rigorous methodologies to assess new mathematical or algorithmic approaches against real-world constraints.
• Communicate research findings through clear documentation, technical reports, and presentations.
• Independently drive high-impact research that transforms foundational scientific insights into tangible value.

Requirements

• PhD in theoretical physics, applied mathematics, computational science, materials science, quantitative finance, or related field, OR 8+ years of equivalent industry research experience.
• 5+ years of experience building, implementing, and evaluating scientific systems or research prototypes.
• Proven ability to bridge theory with engineering through published research or demonstrable prototype development.
• Strong expertise in mathematics, statistical modeling, physics-based simulation, or advanced computational methods.
• Proficiency in Python, C++, or similar languages for production-quality research code.
• English: B2 required.

Nice to have

• Experience with ML frameworks and scientific computing libraries such as NumPy, SciPy, JAX, or PyTorch.
• Ability to leverage modern AI tools (e.g., Claude, ChatGPT, coding assistants) to accelerate research.
• Experience with reinforcement learning, generative models, or advanced ML techniques.
• Domain experience in finance or science-heavy industries, or contributions to open-source scientific software.

Culture & Benefits

• People-first culture focused on employee well-being.
• Flexible work model, trusting employees to decide how, when, and where they work.
• Commitment to fostering an inclusive environment that celebrates diversity.