Machine Learning Engineer

Job Title --------- Machine Learning Engineer Job Description --------------- HFT Architecture builds short-horizon price prediction and the trading system around it. This role builds the pipeline from raw order-book records to a fitted, validated model: data preparation, features, training and out-of-sample measurement, reproducible run to run, with leakage controls built in. Fully remote, from anywhere in the world. Middle+ to senior. Base salary: USD 180,000240,000 a year. To apply: a link to your rsum, LinkedIn or GitHub, and an answer to one question about our article "Why Your Market Maker Loses Money". No file, no cover letter. Apply: [https://hftarchitecture.com/careers/machine-learning-engineer?utm\_source=pythonorg&utm\_medium=jobboard&utm\_campaign=careers-2026-10](https://hftarchitecture.com/careers/machine-learning-engineer?utm_source=pythonorg&utm_medium=jobboard&utm_campaign=careers-2026-10) Restrictions ------------ * **Telecommuting is OK** * **No Agencies Please** Requirements ------------ You have built and run machine learning systems yourself, write Python with tests and versioned data, handle time series without leakage, and work with tens of millions of rows a day on ordinary hardware. About the Company ----------------- We build short-horizon price prediction and the trading system around it: the forecast from order-book data, the rules that trade on it, the risk layer, and the path from a market event to an order. One market and one horizon at a time, and every measurement written up with its sample and its limits. Contact Info ------------ * **Contact**: HFT Architecture * **E-mail contact**: [contact@hftarchitecture.com](mailto:contact%40hftarchitecture.com) * **Web**: [https://hftarchitecture.com/careers/machine-learning-engineer?utm\_source=pythonorg&utm\_medium=jobboard&utm\_campaign=careers-2026-10](https://hftarchitecture.com/careers/machine-learning-engineer?utm_source=pythonorg&utm_medium=jobboard&utm_campaign=careers-2026-10)