Do you feel like most ML researchers are working on heuristics for generative models or image recognition? If you prefer more rigorous approaches for recognizing abstract shapes, join us at Qminers and apply your knowledge on time series data!
ML Researcher
Position
ML Researcher
Employment
Full-time
Location
Palác Špork, 3.patro,
Hybernská 1034/5,
110 00 Praha 1
Team
Deep Learning Researcher
Interested in working for Qminers?
ML Researcher
What You Will Do
- A Master's degree with above-average results in Artificial Intelligence, or another precise education with a strong ML/AI track record.
- A good understanding of ML techniques and algorithms.
- Willingness to spend significant time on feature engineering.
- Strong proficiency in Python including the data science stack: numpy, pandas, matplotlib, scikit-learn + any DL framework.
Most of our day is thinking, arguing toward the best solution, and coding. We like results reasonably fast, in both development and runtime, and we give people real room to run and a direct line to the result.
Who We Are
Qminers is a Prague-based algorithmic trading firm competing on four continents, 24/7. Founded in 2012, we delivered a Sharpe ratio above 10 year after year for a decade. We are a team of around 50: mathematicians, quants, software engineers, and machine learning researchers.
Excellence is not a slogan here, it is the baseline.
Requirements
Must have
- Focus on genuine analytical work – data management and deployment are handled by others.
- A clearly defined, challenging task involving numerous numerical time series.
- Regression, clustering, and optimization.
- Highly motivating bonuses tied to actual improvements in evaluation metrics.
Nice to have
We are honest about fit. This is not a demo and it is not a benchmark: the data is genuinely hard, the signal is faint, and a result only counts when it holds up on real metrics. If you want to be only a researcher who hands off, or only an engineer who ships someone else’s model, this is the wrong seat. If you want to be both, it is the right one.
Our Culture
The best argument wins.
Meritocracy is in our DNA.
You own the outcome.
Responsibility here is total, the wins and the mistakes alike.
Your rivals are outside, not inside.
Excellent colleagues are the elevator up, not the competition.
Interview process
01
Application
Through the web form.
02
Screening call
A short conversation to align expectations. You know where you stand.
03
Technical screening
An online test and a short technical call.
04
Take-home task
A real problem, a reasonable amount of time, and detailed feedback either way.
05
On-site interview
One-to-one conversations with the team, and lunch together.
06
Decision within a week
A clear answer, and if it did not work out, what was missing so you can try again.
Reading list
If you want to prepare thoroughly, here’s our recommended reading list. It’s not required, but it can give you a head start.
Compensation
Our package has four parts.
Base salary
Every role has a published salary range, and the more experience and results you bring, the higher you move within it.Profit share & bonuses
Everyone holds a share of net profit, up to low single-digit percentages depending on impact. Around a quarter of the firm’s total annual profit goes into bonuses, re-evaluated every year on real, measurable impact.Shadow equity
A meaningful share in the firm’s performance, a standard part of compensation for senior contributors.ESOP
For the most senior people, genuine ownership in what the firm becomes. The details are worth a conversation.We publish our annual results, and anyone inside the firm can see how Qminers is paid and how the current year is shaping up. Financial transparency is a given, not a perk.
Interested in working for Qminers?
Send an email to hr@qminers.com or fill out the form.
Are you an experienced quant? A programmer with a passion for C++ or Python? Or are you a recent graduate with a specialization in data? We’re always keen to hear from you!