Open position at Qminers
Deep Learning Researcher/Engineer (ENG)
- Work schedule
- Full-time
- Address
- Hybernská 1034/5, Nové Město, 110 00 Praha-Praha 1, Česko
Do you sometimes feel that machine learning today is reduced to polished generative demos or yet another computer vision benchmark? And that what really draws you is going deeper, applying deep learning to data that are hard even for humans to interpret?
At Qminers, we train deep learning models on massive market data and tune them to extract commercially actionable patterns from the chaos of financial time series. We work with abstract structures that are often invisible to the human eye, yet crucial for decision-making.
We are a team where researchers and engineers meet. Do you enjoy the combination of mathematics, logical reasoning, and ML/DL best practices? You might be looking for exactly this team, and we might be looking for you.
What can you expect from this job:
Working with massive financial market datasets and preparing them for ML/DL models.
Regression, clustering, and optimization tasks.
A clearly defined, challenging problem built on large collections of numerical time series.
Training, tuning, and evaluating deep learning models on time series data.
Highly motivating performance bonuses tied directly to real improvements in evaluation metrics.
At Qminers, we develop an algorithmic trading system that trades completely autonomously on 4 continents, 24/7. Our business is based on smarts, optimization, precise problem formulation and careful statistics, and sometimes arbitrage, which as everyone knows doesn’t exist. We’re huge fans of technology and free markets, and we believe that if our software makes markets better for everyone, we’ll benefit from that too.
What we expect from you:
A Master’s degree with excellent results in artificial intelligence, or another quantitative field with a strong ML/AI track record.
Solid knowledge of ML/DL methods and algorithms.
A strong foundation in mathematics, statistics, and probability.
Willingness to spend substantial, non-trivial time on feature engineering.
Extensive experience with training and evaluating ML/DL models.
Strong Python skills; data science stack including NumPy, pandas, matplotlib, scikit-learn, PyTorch.
We like to give people room to realize their potential and have a direct impact on results. We like to have results reasonably fast, both in terms of development and runtime. We spend most of our time thinking, discussing what the best solution is, and coding. We see each other in the office 4 days a week, but we don’t set fixed timetables.
Join our Qminers team!
