Staff Machine Learning Scientist (AI)

TL;DR

Staff Machine Learning Scientist (AI): Leading end-to-end design, development, and deployment of novel ML/LLM models and algorithms for customer service with an accent on multilingual language/intent/sentiment analysis and conversational AI agents. Focus on defining research agendas, pioneering large-scale initiatives, and bridging cutting-edge research with production systems.

Location: Remote, Portugal

Company

hirify.global is a product company focused on simplifying customer experience through software, empowering over 125,000 global brands.

What you will do

• Lead end-to-end design, development, and deployment of novel ML/LLM models and algorithms.
• Pioneer large-scale initiatives such as multilingual language/intent/sentiment analysis and conversational AI agents.
• Define and drive experimentation standards, statistically robust evaluations, and model governance.
• Collaborate with Engineering to build globally scalable production systems from cutting-edge research.
• Mentor and develop Senior Scientists and Engineers, fostering a culture of scientific rigor.
• Advise leadership on ML/AI technology strategy and assess emerging industry trends.

Requirements

• MSc degree (PhD preferred) in computer science, electrical engineering, math, or related areas.
• Substantial track record of impactful research and deployment of ML/AI solutions at scale, preferably in NLP, LLMs, or information retrieval.
• Proven technical and research leadership across projects/teams, including defining research vision.
• Deep expertise in experimental design, statistical analysis, and ML science best practices.
• Strong coding skills in Python; experience with ML frameworks (preferably PyTorch).
• Experience with large-scale experimentation (e.g., A/B testing), data analysis, and performance tracking.
• Outstanding mentorship and communication skills.

Nice to have

• Recognized contributions to the scientific community (publications, open source, talks).

Culture & Benefits

• Hybrid way of working, offering flexibility for remote work while providing opportunities for in-office collaboration.
• Commitment to global diversity, equity, and inclusion in the workplace.
• Fostering a fulfilling and inclusive experience for employees.
• Offices designed for collaboration, quiet work, and events.