Research Engineer

Turing

Brazil, Brazil
On-site
Deep learning systems
Data quality and curation
Rigorous evaluation
This role is designed for candidates with roughly 4 to 5 years of experience building and improving deep learning systems, especially where strong results depend on data quality, data curation, denoising, synthetic data generation, and rigorous evaluation

Job Summary

  • This role is designed for candidates with roughly 4 to 5 years of experience building and improving deep learning systems, especially where strong results depend on data quality, data curation, denoising, synthetic data generation, and rigorous evaluation.
  • You will work directly with customer researchers/engineers to translate their model and post-training goals into concrete data and environment specifications, and drive the production of data that meets extremely high standards for correctness, realism, diversity, difficulty, and measurable model lift.
  • Collaborate with cross-functional teams by providing clear specs, examples, and edge cases, and fast feedback loops based on audits and quantitative signals.

Matching Summary

This role is designed for candidates with roughly 4 to 5 years of experience building and improving deep learning systems, especially where strong results depend on data quality, data curation, denoising, synthetic data generation, and rigorous evaluation.

Skills & Requirements

Must-have

  • deep learning systems
  • data quality and curation
  • rigorous evaluation
  • Python proficiency
  • AI researcher perspective

Nice-to-have

  • strong intuition for data ingredients
  • clear communication with researchers
  • detail-oriented diagnosis
  • human-in-the-loop review loops

Key Requirements

  • 4-5 years experience
  • Python proficiency required
  • Comfort with SQL/structured data workflows strongly preferred

Work Rights

Not specified

Tailored Resume

Cover Letter