Constructor
Machine Learning Engineer: Personalization
Remote work allowed only within certain countries or regions.
Europe
Employer listed it 2 days ago · Added 2 days ago
First listed 2 days ago.
Salary
$80,000 to $120,000
Location
Europe
Timezone
CET ±2
Contract
Full-time
Experience
Mid
Category
Data
Stated by the employer in the job description
Remote flexibility
Region Restricted
Remote work is allowed, but only for candidates based in Europe.
What the employer says
- Source listing states candidate location: "Remote - EMEA, Remote"
What Nomaders makes of it
- Applications outside the listed area are usually rejected
- Timezone overlap with the listed area is often expected
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
About the Team
Launched in 2019, Constructor is an AI-first ecommerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains.
As a member of the Personalization team, you will improve the e-commerce experience for hundreds of millions of users across the world by designing, delivering & maintaining high-load real-time services in close collaboration with great engineers both within the team and across other teams such as the Ranking team. The general goal of the Personalization team is providing best-in-class personalization for all e-commerce experiences provided by Constructor. The job can consist of, but is not limited to:
Improve personalized experience across different products, domain verticals and platforms
Improve business KPIs by validating hypotheses around personalization
Research different personalization approaches to provide the best outcome to the business
Model user interactions to provide the best experience to shoppers
Collaborate with technical and non-technical business partners to develop and update personalization capabilities
Communicate with stakeholders within and outside the team
We love working together to help each other succeed, and are committed to maintaining an open, cooperative culture as we grow. We get to the right answer with empathy, ownership and passion for making an impact.
Requirements
Hard skills
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 any of the major public cloud platforms will be a plus
Experience with design and analysis of A/B tests
Great skills delivering & communicating business value to stakeholders
Soft skills
Excellent English communication skills
Experience collaborating in cross-functional teams
Ability to deep dive into problems and provide actionable outcomes
Ability to work autonomously and independently
Proactivity
Requirements
- ·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 any of the major public cloud platforms will be a plus
- ·Experience with design and analysis of A/B tests
Benefits
- ·🧠 Work with smart and empathetic people who will help you grow and make a meaningful impact.
- ·🎉 Regular team offsite events to connect and collaborate.
- ·🌎 Fully remote team - choose where you live.
- ·🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year.
- ·🛋️ Work from home stipend! We want you to have the resources you need to set up your home office.
How to apply
- 1Check the flexibility label above, region restricted, matches where you plan to live and work.
- 2Tailor your CV to the role at Constructor, mentioning your remote working experience and working hours (CET ±2).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 2d ago. Last checked 24 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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