Research Engineer

Stack

Responsibilities

• ▹Create and uphold a reliable, expandable data management system specialized for text-to-speech projects, including versioning guidelines and data quality assurance
• ▹Establish a streamlined process for autonomously training, assessing and launching text-to-speech models, including dynamic learning, fine-tuning and validation data refresh routines
• ▹Investigate cutting-edge approaches in machine learning, deep learning and algorithms for text-to-speech technology

Requirements

• ▹3+ years of industry experience as a Machine Learning Engineer, with emphasis on building data pipelines and developing and implementing ML models
• ▹Ability to autonomously evaluate novel concepts or enhance current ML projects, potentially contributing to published works
• ▹Extensive background in conducting exploratory research to enhance data quality, particularly in audio and text-to-speech domains

Soft skills

What we offer

• ▹Innovative culture and a generational opportunity to shape the trajectory of AI
• ▹Growth paths beyond the immediate role
• ▹Learning & development via an annual discretionary stipend
• ▹Annual discretionary social travel stipend to meet colleagues
• ▹Annual company offsite (past locations include Croatia and Italy)
• ▹Monthly co-working stipend if not located near a main hub