Senior Machine Learning Engineer: Ranking; Remote

Senior Machine Learning Engineer:
Ranking (Remote)

We are looking for an experienced machine learning engineer to join our Ranking team and help build state‑of‑the‑art ranking systems that drive engagement, conversion, and revenue.

Constructor is a next‑generation search and discovery platform for e‑commerce that explicitly optimizes for revenue, conversion rate, and profit. We built our own search engine entirely in‑house using transformers and generative large language models. Our proprietary engine powers search, recommendations, and shopping agents for over 1 billion queries daily across 150 languages and roughly 100 countries. Clients include Sephora, Under Armour, and Petco.

We are a U.S. based company founded in 2019, led by Eli Finkelshteyn and Dan McCormick.

The Ranking team, within the Machine Learning chapter, owns all stages of product ranking for Constructor’s Search, Browse, and Autocomplete experiences. We focus on metrics over features and provide the ranking algorithms with powerful capabilities that deliver business value.

• Design, develop, deploy, and optimize machine learning models to enhance search engine ranking systems, improving key business metrics such as conversion, engagement, and user satisfaction.
• Analyze ranking performance and identify gaps in search, browse, and autocomplete experiences, focusing on relevance, personalization, attractiveness, diversification, and other quality signals.
• Proactively propose new machine learning models, algorithms, and features to advance the ranking pipeline and meet evolving business needs.
• Collaborate with cross‑functional teams, technical and non‑technical business partners, to develop and update ranking functionalities.

• At least 4 years of experience with Python for machine learning and backend development.
• At least 4 years of experience developing, deploying, and maintaining machine learning models with a strong focus on ranking systems for search, recommendations, or similar applications.
• Experience in large‑scale ML model training, evaluation, and optimization, with a focus on real‑time inference and serving.
• Experience with big data frameworks such as Spark for processing large datasets and integrating them into ML pipelines.
• Proficiency in using tools like SQL, PySpark, Pandas, and other frameworks to extract, manipulate, and analyze data.
• Experience with data pipeline orchestration tools like Airflow or Luigi to manage and automate workflows for ML training and signal delivery.
• Experience working on ranking algorithms that optimize metrics such as relevance, conversion rates, personalization, user engagement. Knowledge of RPV is a plus.

• Experience collaborating in cross‑functional teams.
• Experience leading projects to success.
• Excellent English communication skills.
• Enjoy helping others around you grow as developers and be successful.
• Pick up new ideas and technologies quickly; love learning and discussing them with others.
• Love to experiment and use data and customer feedback to drive decision making.

• 🏝️ Unlimited vacation time – we strongly encourage all employees to take at least 3 weeks per year.
• 🌎 Fully remote team – choose where you live.
• 🛋️ Home‑office stipend to set up your work environment.
• 💻 Apple laptops provided for new employees.
• 🧑🎓 Training and development budget refreshed each year.
• 👪 Maternity & Paternity leave for qualified employees.
• 🧠 Work with smart people who will help you grow and make a meaningful impact.
• 💵 Base salary range: $80k – $120k USD (variable based on experience and interview).
• 🎉 Regular team offsites to connect and collaborate.

Diversity, Equity, and Inclusion at Constructor:
We are committed to cultivating an 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 protected classes. We encourage applicants even if they do not meet every qualification listed.

Mid‑Senior level

Full‑time

IT Services and IT Consulting

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