Machine Learning Engineer: Ranking & Personalization
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 18d ago
The date the source published, not the day we noticed it (2026-09-22). Last seen at its source 1h ago.
We have tracked this listing since 22 Sep 2026 (18 days). The employer's board dropped it once and re-listed it; it was last seen there 1 hour ago.
Is it remote?
Remote - EMEA
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
EMEA
The description states no restriction of its own. This is the source's own tag.
Pay
$80k–120k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Ashby employer's own board first seen 18d ago · last seen 1h ago
The listing
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
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.
💻 Apple laptops provided for new employees.
🧑🎓 Training and development budget for every employee, refreshed each year.
👪 Maternity & Paternity leave for qualified employees.
💵 Base salary: $80k–$120K USD, depending on knowledge, skills, experience, and interview results
📈 Stock options - offered in addition to the base salary
Diversity, Equity, and Inclusion at Constructor
At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.
Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.
How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice. After that period your data will be deleted or anonymized.