Machine Learning Engineer
at
HFT Architecture
(19 hours, 13 minutes ago)
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 180,000–240,000 a year.
To apply: a link to your résumé, LinkedIn or GitHub, and an answer to one question about our article "Why Your Market Maker Loses Money". No file, no cover letter.
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: [email protected]
- Web: https://hftarchitecture.com/careers/machine-learning-engineer?utm_source=pythonorg&utm_medium=jobboard&utm_campaign=careers-2026-10
Employment type
Full-time
Desired skills:
Machine Learning, Python, Time Series, Data pipelines, Feature Engineering, Model Training, Model Validation, Order Book Data, Automated Testing, Versioned Data, Finance
Location:
Worldwide (Remote OK)
Compensation:
USD 180,000.00–240,000.00 per year