Research Intern (AI/ML)

TL;DR

Research Intern (AI/ML): Assisting in the research and development of machine learning models with an accent on implementing and evaluating models using modern ML frameworks. Focus on understanding and discussing research papers, experimenting with new ideas, and contributing to ongoing research projects.

Location: London, UK

Company

hirify.global is committed to creating category-leading enterprise software focused on the transformative power of automation.

What you will do

• Assist in the research and development of machine learning models.
• Read, understand, and discuss research papers with your mentor and team, and help experiment with new ideas or model improvements.
• Implement and evaluate machine learning models using modern ML frameworks.
• Contribute to ongoing research projects and exploratory investigations under guidance from senior researchers.
• Collaborate with applied scientists and engineers to understand how research transitions into real-world AI/ML products.
• Stay up to date with recent advances in machine learning and AI and share learnings within the team.

Requirements

• Currently pursuing a Master’s (MSc) or PhD in Machine Learning, Computer Science, or a closely related technical field.
• Strong interest in machine learning research.
• Solid foundation in linear algebra, probability, and statistics through coursework or research experience.
• Experience programming in Python, with familiarity in at least one modern ML framework such as PyTorch, TensorFlow, or JAX.
• Ability to work on open-ended research problems with mentorship and feedback.
• Good communication and collaboration skills, and comfort working in a research-focused team environment.

Culture & Benefits

• Supported by managers, mentors, and a global class of interns.
• Value curiosity, self-propulsion, generosity, and genuineness.
• Fast-moving, fast-thinking growth company.
• Diversity and inclusive workplace that provides equal opportunities to all persons.
• Provides reasonable accommodations for candidates on request and respects applicants' privacy rights.