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Junior Machine Learning Engineer
at HFT Architecture

(19 hours, 16 minutes ago)

Job Title

Junior Machine Learning Engineer

Job Description

HFT Architecture builds short-horizon price prediction and the trading system around it. This role works on the pipeline that turns order-book records into validated models, next to more experienced engineers: data preparation, experiments end to end, and the checks that keep the future out of a training set.

Fully remote, from anywhere in the world. Junior.

Base salary: USD 125,000–155,000 a year.

To apply: a link to your résumé, LinkedIn or GitHub, and one sentence on any of our articles. No file, no cover letter.

Apply: https://hftarchitecture.com/careers/junior-machine-learning-engineer?utm_source=pythonorg&utm_medium=jobboard&utm_campaign=careers-2026-10

Restrictions

  • Telecommuting is OK
  • No Agencies Please

Requirements

You write Python every day, with tests; can explain the machine learning basics, including why ordinary cross-validation breaks on time series; and have one project of your own you can show and talk through.

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

Employment type

Full-time

Desired skills:

Machine Learning, Python, Time Series, Cross-Validation, Automated Testing, Data Preparation, Order-Book Data, Finance

Location:

Worldwide (Remote OK)

Compensation:

USD 125,000.00–155,000.00 per year

Apply for this Job
This job listing was aggregated from python.org/jobs/
To apply for this job, please visit https://www.python.org/jobs/8176/

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HFT Architecture

Worldwide
Remote OK
USD 180,000.00–240,000.00 per year
#Python #Machine Learning #Finance #Data pipelines #Time Series #Automated Testing #Feature Engineering #Model Training #Model Validation #Order Book Data #Versioned Data
Posted 19 hours, 16 minutes ago