Machine Learning Engineer
Alberblanc
| Company | Alberblanc |
| Category | Engineering |
| Location | — |
| Remote | — |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 27 Jan 2026 |
| Last verified | 31 Jul 2026 |
| Source | Employer career page (teamtailor) |
Description
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
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