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Machine Learning Engineer: Ranking & Personalization

constructorRemote - EMEAEngineering
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Salary
$80k–$120K USD
Job type
Full-time
Work mode
Remote
Experience
Mid · 3+ yrs
Posted
22 Sept 2026
Status
Open · checked 7d ago

About this role

Machine Learning Engineer: Ranking & Personalization is a remote position based in EMEA with Constructor that suits a professional with applied machine learning expertise seeking to build real-time recommendation systems. The role focuses on enhancing shopping experiences for large user bases globally through data-driven models and cross-functional collaboration.

Role Overview

Constructor seeks a Machine Learning Engineer: Ranking & Personalization to join the Personalization team for a full-time remote role in EMEA. The professional in this position will create, launch, and support high-load real-time architecture that powers e-commerce search and discovery platforms. Responsibilities include working alongside engineering peers, validating performance hypotheses, and delivering optimized user interactions for shoppers worldwide.

Key Responsibilities

Enhance customized shopping functionality across various domain verticals and platforms.
Test business hypotheses to drive improvements in key performance indicators.
Investigate diverse personalization strategies to deliver optimal business results.
Simulate user behavior to optimize shopper interactions.
Partner with technical and non-technical colleagues to expand personalization features.
Engage with internal and external stakeholders.

Requirements

Three or more years of hands-on professional background in applied machine learning.
Competence in Python, SQL, and big data infrastructure for full lifecycle machine learning development.
Background in developing, deploying, and supporting production-grade personalization, recommendation, or ranking platforms.
Design and evaluation competence regarding A/B testing.
Strong capability in communicating business value to stakeholders.
Advanced English communication abilities, autonomy, and cross-functional collaboration skills.

Nice to Have

Background working with major public cloud environments.

Skills and Tools

Python
SQL
Big data stack
Recommendation systems
Ranking systems
A/B testing

Salary and Benefits

Base financial compensation ranging from $80,000 to $120,000 USD, determined by background, capabilities, and evaluation outcomes.
Stock option grants.
Fully remote work environment across the EMEA region.
Flexible vacation policy with a recommended minimum of three weeks annually.
Home office setup budget.
Apple laptop hardware provision.
Annual professional education and development allowance.
Parental leave options for eligible staff.
Periodic team offsite gatherings.

About the Company

Constructor operates an artificial intelligence-focused ecommerce search and discovery platform established in 2019. The enterprise assists online retail brands in improving conversion rates and revenue by helping customers locate desired merchandise efficiently.

How to Apply

Interested candidates should apply on the official company careers page.

Skills and tech stack

PythonSQLBig DataCloud PlatformsMachine Learning

Questions candidates ask

Where is this job located?

This is a fully remote position based in the EMEA region.

What is the salary range for this position?

The base salary ranges from $80k to $120K USD, depending on knowledge, skills, experience, and interview results.

How many years of experience are required?

Candidates must have 3+ years of professional experience in applied machine learning.

What technical skills are needed?

Proficiency with Python, SQL, and the big data stack for end-to-end ML product development is required, along with experience building production recommendation or ranking systems.

What benefits are included?

Benefits include stock options, a home office stipend, an Apple laptop, annual training and development budget, unlimited vacation with a 3-week minimum recommendation, parental leave, and regular team offsite events.

Ready to apply?

The application is on the official constructor careers page.

Apply on company site