Machine Learning Engineer
The posting does not state a salary. This range is our estimate from the role, the location and the stack — treat it as a guide, not an offer.
- Level
- Mid
About the role
- Build ML models for large datasets
- Apply scientific methods to optimize performance
- Explore datasets to design features and insights
- Develop ML models from hypothesis to deployment
- Work in a competitive environment with decision-making
Skills the posting asks for
- Machine Learning
- Data Science
- Statistics
- Algorithms
Summarised from the employer’s posting, which is reproduced in full below.
The employer’s full posting
As a Machine Learning Engineer at Alber Blanc, you will be responsible for building ML models for large datasets and alpha research. Excellent math, ML, and DS skills would be a great fit for this role.
Responsibilities
Apply scientific, mathematical, and statistical methods to build ML models
Perform alpha, execution research, and optimize the model’s performance
Explore existing and new datasets to design features and find insights
Develop ML models full cycle - from hypothesis to deployment and maintenance
Requirements
STEM degree from one of the top-tier universities OR proven track of success as a Data Analyst/Researcher/Data Scientist
Advanced understanding of probability, statistics, math, and algorithms
Deep expertise in the field of Machine Learning
Experience with ML predictive modeling tools, libraries, and workflow platforms
Nice to have
Personal achievements such as ICPC, IMC, IOI, Codeforces Red+, Kaggle, etc.
Published articles in the field of Data Science/ML (Q1-Q2)
Pet projects or open-source repositories dedicated to trading, finance, or the quantitative field
What we offer
Result-oriented bonuses along with an extraordinary salary
Transparent processes and lack of red tape
Competitive environment with an opportunity to make decisions and change the company
One of the best levels of expertise on the market