Senior ML Engineer (AI Platform)

TL;DR

Senior ML Engineer (AI Platform): Building next-generation AI-powered equity research systems for individual investors with an accent on production-grade ML systems and LLM workflows. Focus on designing end-to-end AI features, from data pipelines and training to inference and monitoring at scale.

Location: Celetná, Praha 1, Czechia. External candidates may be required to attend an in-person interview at one of the company locations.

Company

hirify.global is a Nasdaq-listed media and entertainment business operating iconic brands such as CNBC, USA Network, and Rotten Tomatoes.

What you will do

• Design, build, and operate production-grade ML systems, LLM workflows, and supporting infrastructure.
• Own end-to-end delivery of AI features, encompassing data pipelines, training workflows, inference, and monitoring.
• Contribute to architectural decisions and technical standards while mentoring peers to elevate ML quality.
• Solve complex technical problems with high business impact in a low-bureaucracy environment.
• Identify and mitigate risks in AI systems, including performance regressions and operational issues.
• Implement and improve model lifecycle management and evaluation frameworks.

Requirements

• Bachelor’s degree in Computer Science or equivalent practical experience.
• Minimum of 8 years of experience in software engineering with a focus on ML or AI systems.
• Strong proficiency in Python, TypeScript, or Java.
• Proven experience with LLMs, ranking/recommendation systems, search, or applied NLP.
• Experience building and operating production ML systems.
• Solid understanding of modern ML techniques, including deep learning and representation learning.

Nice to have

• Hands-on experience with CNNs, RNNs, Transformers, or other deep learning architectures.
• Background in classical and modern NLP techniques (tokenization, embeddings, text classification).
• Experience with training pipelines using TensorFlow or PyTorch.
• Experience building human-in-the-loop training or evaluation workflows.
• Genuine interest in investing, public markets, and fundamental business analysis.

Culture & Benefits

• Startup-style environment (small team, high ownership, fast execution) with the stability of a publicly traded company.
• Direct access to senior leadership and experienced market professionals, including former hedge fund managers.
• High degree of autonomy and influence over product, engineering, and modeling decisions.
• Collaborative work culture focused on turning AI capabilities into reliable product systems.
• Commitment to equal employment opportunities for all applicants.