Junior Machine Learning Engineer

Python Software Foundation; United States; On-site; USD 125,000 - 155,000; Full time

Job summary

The Python Software Foundation is looking for a junior engineer to join its HFT architecture efforts. This fully remote role focuses on turning raw order-book records into validated models, alongside more experienced engineers handling data preparation and end-to-end experiments.

You will write Python daily, with tests, and be able to explain machine learning basics, including time-series cross-validation. A demonstrated project you can discuss is required, as the team values practical, hands-on

Qualifications

• Experience writing Python with tests.
• Ability to explain ML basics and time-series CV.
• Show at least one project you can discuss.

Responsibilities

• Develop pipelines turning order-book data into validated models.
• Run end-to-end experiments and document results.
• Implement checks to prevent data leakage into training sets.

Skills

Python

Testing

ML concepts

Time-series CV

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.

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.