Machine Learning Engineer - Personalization (Remote)

Constructor; United States; Remote; USD 80,000 - 120,000; Full time

Benefits offered by this job

Remote work

Unlimited vacation

Home office stipend

Apple laptop

Stock options

Training budget

Parental leave

Job summary

Constructor is seeking a Senior ML-focused engineer to design, implement, and maintain high-load, real-time personalization services for a global ecommerce audience. You will work closely with engineers across teams to deliver personalized experiences, validate hypotheses with A/B testing, and translate business value into scalable ML solutions.

The role emphasizes autonomous work, strong English communication, and collaboration with cross-functional partners.

Qualifications

• 3+ years of professional experience in applied machine learning.
• Proficiency with Python, SQL and the big data stack for end-to-end ML product development.
• Experience building, shipping, and maintaining personalization / recommender / ranking systems in production.
• Experience with design and analysis of A/B tests.
• Excellent ability to deliver and communicate business value to stakeholders.

Responsibilities

• Improve personalized experience across products, domains, and platforms.
• Improve business KPIs by validating hypotheses around personalization.
• Research personalization approaches to optimize outcomes for the business.
• Model user interactions to enhance shopper experience.
• Collaborate with technical and non-technical partners to develop and update personalization capabilities.

Skills

Applied ML

A/B testing

Stakeholder communication

Cross-functional collaboration

Autonomy

Tools

Python

SQL

Big data stack

Cloud platforms

Job description

Constructor is seeking a Senior ML-focused engineer to design, implement, and maintain high-load, real-time personalization services for a global ecommerce audience. You will work closely with engineers across teams to deliver personalized experiences, validate hypotheses with A/B testing, and translate business value into scalable ML solutions.

The role emphasizes autonomous work, strong English communication, and collaboration with cross-functional partners.