Machine Learning Engineer
SweedFull Time
Mid-level (3 to 4 years)
Key technologies and capabilities for this role
Common questions about this position
High proficiency in Python, Pytorch, and Polars is required, along with strong experience in Cython. Machine learning proficiency, especially deep-learning architectures, is also essential.
This information is not specified in the job description.
This information is not specified in the job description.
The role is in an extremely fast-paced, demanding start-up like environment where you must thrive in ambiguity and bear immense responsibility for high-stakes production infrastructure.
Candidates who thrive in fast-paced environments, have strong proficiency in Python, Pytorch, Polars, and machine learning (especially deep learning), and can take ownership of projects from design to deployment stand out.
Quantitative trading and market-making firm
AlphaGrep specializes in quantitative trading and investment by developing and executing algorithmic trading strategies. The firm uses advanced mathematical and statistical methods to analyze large amounts of financial market data, allowing it to identify and take advantage of small inefficiencies in the market. AlphaGrep operates on over 30 exchanges worldwide, trading across all asset classes and is recognized as a leading global market maker, ranking high in trading volume on various exchanges. Unlike many competitors, AlphaGrep focuses on creating value through innovation rather than imitation, constantly seeking new opportunities in the financial markets. The company's goal is to provide liquidity and efficient market-making services to a diverse range of clients, including institutional investors, while generating revenue through its proprietary trading strategies.