Principal Applied Scientist (AI)

TL;DR

Principal Applied Scientist (AI): Building, optimizing, and deploying machine learning models to solve real-world problems with an accent on scalability and production efficiency. Focus on implementing models from academic research, performing statistical analysis, and designing accessible human-computer interfaces for ML.

Location: Bucharest, Romania (Flexible options: hybrid, onsite, or remote depending on team needs)

Company

A global leader in creating category-leading enterprise software focused on the transformative power of automation.

What you will do

• Build and improve modern machine learning models to solve complex ML problems.
• Research academic papers from ICML, ICLR, and NeurIPS to propose and implement model improvements.
• Design intuitive human-computer interfaces to make machine learning models accessible to all users.
• Execute regular benchmarks and statistical analyses to evaluate the impact of research-based optimizations.

Requirements

• Proficiency in Python and modern ML libraries such as PyTorch, TensorFlow, or JAX.
• Strong ability to implement complex models described in academic research papers.
• Mastery of linear algebra, probability, statistics, and quantitative intuition.
• Solid knowledge of basic data structures and algorithms, including time and memory complexity analysis.
• Must be eligible to work in Romania.

Culture & Benefits

• Fast-paced, growth-oriented environment for those who are curious and self-propelled.
• Flexible work arrangements including hybrid, office-based, or remote options depending on the specific team.
• Inclusive workplace providing equal opportunities regardless of background.
• Culture that values kindness, honesty, responsibility, and professional growth.