Machine Learning Research Intern
IdeogramPart Time
Entry Level & New Grad
Key technologies and capabilities for this role
Common questions about this position
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Candidates need to thrive in fast-paced environments, be highly proficient in machine learning (especially deep-learning), and have high proficiency in Python, PyTorch, and Polars. Experience with SQL-like databases such as Postgres and ClickHouse, Cython in performance-sensitive environments, and knowledge of financial markets are pluses.
The team operates in an ambiguous, fast-paced startup-like environment where data is the utmost priority, and interns will build products from the ground up while taking ownership of projects.
A strong candidate has strong experience in Python and Cython, proficiency in machine learning and deep learning, thrives in fast-paced ambiguous settings, and can handle high responsibility for production infrastructure.
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.