Senior Machine Learning Expert

2 tygodni temu

Górczewska Warszawa, Polska QED Pełny etat
Role Overview

We are seeking a skilled Senior Machine Learning Expert to join our team in Warsaw, Poland. This is a full-time position with a hybrid of remote and in-person work throughout the week.

About QED

QED is a tech company focused on public health and food security in Sub-Saharan Africa. We build digital infrastructure and AI used at the intersection of aid and scientific inquiry, including surveillance of HIV and malaria, and nutrient analysis of crops and soils, working at national-scale in several African countries. Our funding comes from multiple philanthropic and governmental organizations.

Key Responsibilities

The ideal candidate will have +3 years of experience in machine learning, preferably in computer vision. They should also possess a respectable track record in competitive data modeling, and/or notable research achievements. Additionally, they should be well-versed with the latest trends with top-performing tools and the ML research community.

Required Skills and Qualifications
  • Strong fluency in both Python and in the main AI-related tools of the trade.
  • Strong skills in logical reasoning and critical thinking, and the confidence to both express it and also receive constructive feedback through regular code review.
  • Non-superficial intuitions about AI, beyond `import blackbox`.
  • Working proficiency (≥C1) in speaking, reading, and typing English (≥45 words per minute).
  • Willingness and interest in working with people from other cultures.
  • Emotional resilience and social intelligence.
Salary and Benefits

The estimated annual salary for this position is €60,000 - €80,000, depending on experience. You can expect unusual, socially conscious projects, little bureaucracy, significant ownership, and the ability to explore technologies other than your main expertise.

Bonus Skills
  • Working knowledge of statistics and basic probability.
  • Experience working with enterprise data warehouse software and/or data processing pipelines.
  • Experience working with datasets that cannot fit on a desktop, and systems engineering techniques for overcoming these constraints.
  • Evidence of leadership and team-building skills.
  • Experience with computer hardware, electronics, or physics.
  • Experience with programming and/or math competitions.

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