Computer Scientist - Remote Work

BairesDev

Veracruz

Remote

MXN 1,588,000 - 2,242,000

Full time

33 hours ago
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Benefits offered by this job

Remote 100%
USD or local currency compensation
Paid parental leave
Vacation & holidays
Mentorship & growth opportunities

Job summary

BairesDev is seeking a Computer Scientist to tackle complex algorithmic problems, designing scalable solutions for datasets with hundreds of millions of entities and billions of relations. This remote role emphasizes production-ready algorithms and engineering judgment.

You'll work on inference, ranking, and classification, turning ambiguous business needs into well-defined computational problems, collaborating with researchers and engineers to deploy in production at scale.

Qualifications

  • Degree in Computer Science or near completion.
  • Strong algorithms and data structures fundamentals.
  • Excellent problem-solving and engineering judgment.
  • Strong Python programming skills; other languages encouraged.
  • Ability to build production-quality software.
  • Ability to reason about scalability and performance.

Responsibilities

  • Design and implement algorithms for inference, ranking, and classification.
  • Create scalable heuristics for large datasets.
  • Analyze computational complexity and optimize large-scale systems.
  • Design evaluation methodologies and validation frameworks.
  • Translate ambiguous requirements into defined computational problems.
  • Collaborate with researchers and engineers to productionize algorithms.

Skills

Algorithms
Data structures
Python
Production-quality software
English proficiency

Education

Degree in Computer Science or related field

Job description

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.

Computer Scientist at BairesDev

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.

What You'll Do:
  • Design and implement algorithms for inference, ranking, matching, classification, and prediction problems.
  • Create scalable heuristics operating on datasets with hundreds of millions of records.
  • Analyze computational complexity and optimize systems for large-scale execution.
  • Design evaluation methodologies and validation frameworks to measure solution quality.
  • Transform ambiguous business requirements into well-defined computational problems.
  • Collaborate with researchers and engineers to productionize algorithms and experiments.
What we are looking for:
  • Degree in Computer Science or close to completion.
  • Strong algorithms and data structures fundamentals.
  • Excellent problem-solving skills and sound engineering judgment.
  • Strong programming skills, with Python preferred; candidates with backgrounds in other general-purpose languages are encouraged to apply.
  • Demonstrated ability to build and maintain production-quality software.
  • Ability to reason about scalability, computational complexity, and performance tradeoffs.
  • Comfort working on ambiguous, open-ended problems and progressively transforming them into well-defined computational solutions.
  • Advanced proficiency in English.
Nice to have:
  • Experience with graph algorithms and network analysis.
  • Background in information retrieval.
  • Knowledge of optimization techniques.
  • Applied machine learning experience.
  • Familiarity with probabilistic inference.
  • Experience with large-scale data mining.
How we make your work (and your life) easier:
  • 100% remote, work from anywhere.
  • Excellent compensation in USD or your local currency if preferred.
  • Paid parental leave, vacation, and national holidays.
  • Innovative and multicultural work environment.
  • Collaborate and learn from the global Top 1% of talent in each area.
  • Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Join a global team where your unique talents can truly thrive and make a significant impact!

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