Research Engineer (AI)

TL;DR

Research Engineer (AI): Building end-to-end geospatial intelligence systems and developing novel machine learning models with an accent on large-scale data processing and production-ready implementation. Focus on solving complex research challenges in earth science, testing new hypotheses, and transitioning models from proof-of-concept to real-world applications.

Location: Must be based in London, UK or New York City, US

Company

hirify.global is a premier artificial intelligence research organization dedicated to pushing the boundaries of AI for scientific discovery and public benefit.

What you will do

• Develop and implement production-ready geospatial machine learning systems.
• Conduct experimentation and hypothesis testing to evaluate new opportunities.
• Collaborate across distributed teams to execute the full machine learning life cycle.
• Solve complex problems within high-impact data domains like earth observation and ecology.
• Transition research prototypes into scalable engineering milestones and final products.

Requirements

• BSc, MSc, or PhD in computer science, mathematics, statistics, or 3+ years of relevant industry experience.
• Strong knowledge and experience in Python or C++.
• Expertise in large-scale data pipelines and processing.
• Proven experience working on deployed projects from concept to implementation.
• Knowledge of machine learning, statistics, and algorithm design.
• Proficiency in ML frameworks like JAX.

Nice to have

• Background in ecology, earth science, or biogeochemistry.
• Experience deploying AI-powered products in cross-functional environments.
• Passion for applying experimental ideas to solve applied real-world problems.

Culture & Benefits

• Collaborative, agile team culture focusing on high-impact research.
• Commitment to ethics and AI safety in all technological advancements.
• Environment that prioritizes diversity of background and thought.
• Opportunities to tackle some of the world's most significant scientific challenges.
• Structured support for career growth and professional development.