ML Applied Scientist

Location: Remote from Poland, Canada, Italy, Romania, Croatia, or Austria

Company

hirify.global applies AI and machine learning research to enterprise security, user privacy, and cybersecurity products including the hCaptcha security suite.

What you will do

• Build and scale machine learning models serving millions of requests per second while maintaining performance.
• Translate business requirements into technical specifications and provide input to the research roadmap.
• Develop, evaluate, and debug models under memory and compute constraints, including real-time, incremental, and online learning systems.
• Write maintainable, documented, and tested code, including unit, integration, and end-to-end tests.
• Participate in code reviews, architecture and design sessions, and assessment of emerging technologies.
• Mentor ML research engineers and collaborate across teams to deploy new products and features.

Requirements

• 5+ years of professional experience in applied machine learning.
• Experience across the full modeling lifecycle, including building, evaluating, and debugging large ML models.
• Experience with large-scale categorical and structured data.
• Expertise in real-time ML, incremental learning, and online learning.
• Strong understanding of ML fundamentals, including bias-variance tradeoffs, loss functions, and evaluation metrics.
• Bachelor’s degree in a technical field or equivalent practical experience; ability to make technical decisions independently.

Nice to have

• Strong knowledge of linear algebra, probability theory, statistics, and matrix calculus.
• Software engineering experience with large-scale distributed systems.
• Experience integrating ML work into infrastructure, including observability, deployment, quality, and security automation.

Culture & Benefits

• Fully remote work with flexible working hours.
• Distributed international team, low-overhead organization, and direct interaction with customer teams.
• Rapid, production-focused development with an emphasis on shipping early and often.
• Access to coding agents and leading AI models; coding-agent familiarity is assessed during interviews.
• Pre-employment screening covers work history, education, and identity, followed by an in-person interview and identity verification in the country of residence.

Hiring process

• Interviews include evaluation of coding with AI coding agents and review of code reliability and correctness.
• Final steps include an in-person interview and identity verification in the country of residence.