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BairesDev is seeking a Computer Scientist to tackle challenging algorithmic problems across inference, ranking, matching, and optimization on massive datasets. The role emphasizes designing scalable algorithmic solutions beyond traditional backend or data engineering tasks.
You will transform ambiguous requirements into concrete computational problems, work with researchers and engineers to productionize experiments, and contribute to production-ready software with strong engineering judgment.
At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.
Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.
When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.
In this role, you'll tackle some of the hardest algorithmic problems in computer science, working on inference, ranking, matching, classification, and optimization over datasets containing hundreds of millions of entities and billions of relationships. This is not a backend, infrastructure, or data engineering role — the primary responsibility is formulating complex computational problems and designing scalable algorithmic solutions that can be validated and deployed in production. This is your opportunity to work on problems where no standard solution exists, combining algorithmic creativity with sound engineering judgment to turn ambiguous ideas into reliable, maintainable systems at massive scale.
Join a global team where your unique talents can truly thrive and make a significant impact!