Remote ML Engineer — Personalization & Ranking

Jobgether SRL; Ireland; Remote; EUR 72,000 - 107,000; Full time

Benefits offered by this job

Fully remote work

Annual training budget

Home office stipend

Job summary

Jobgether SRL in Ireland is seeking a Machine Learning Engineer: Ranking & Personalization to design, build, and maintain high-performance, real-time personalization services that power e-commerce search and discovery for hundreds of millions of users.

You will collaborate with engineers, data scientists, and business stakeholders to turn user behavior and experiments into improved recommendations, rankings, and customer engagement, while owning production systems end-to-end in a remote-first

Qualifications

• At least 3 years of professional experience in applied machine learning.
• Python, SQL and big data technologies to support end-to-end ML product development.
• Experience building, deploying, and maintaining production-grade personalization or ranking systems.
• Experience designing and analyzing A/B tests and using experimental results to guide improvements.
• Excellent English communication and cross-functional collaboration skills.

Responsibilities

• Design, deploy, and maintain real-time ML services powering ranking and personalization across products.
• Enhance personalized shopping experiences by refining recommendations, ranking, and discovery.
• Analyze user interactions to build effective models delivering relevant experiences.
• Research, evaluate, and implement personalization approaches to maximize value.
• Formulate and validate hypotheses with experimentation and A/B tests.
• Collaborate with engineering teams and stakeholders to improve features.
• Communicate findings and decisions clearly to stakeholders.

Skills

Python

SQL

Big data

A/B testing

Cloud platforms

English communications

Cross-functional teamwork

Autonomous working

Job description

Jobgether SRL in Ireland is seeking a Machine Learning Engineer: Ranking & Personalization to design, build, and maintain high-performance, real-time personalization services that power e-commerce search and discovery for hundreds of millions of users.

You will collaborate with engineers, data scientists, and business stakeholders to turn user behavior and experiments into improved recommendations, rankings, and customer engagement, while owning production systems end-to-end in a remote-first