We're looking for a Senior MLE to join our Machine Learning Recall team. As a Senior MLE, you will help us build and optimize ML/DL models to improve customer experience by providing the best results in terms of relevancy and marginality.

Role Overview

In the second part of 2025, we plan to focus our attention on three key areas:

• Recall: we don't want to lose good results
• Visual solutions: we would like to deliver end-to-end visual solutions for our customer, including (but not limited to) image search, shop the look, visual recommendations, etc
• Technical platform: we have many different technologies/models inside a team, and we would like to allow other teams to use them widely and integrate in their pipelines

Challenges You Will Tackle

• Build and deploy robust ML systems for search (including text/image & multimodal approaches, etc)
• Tune LLMs to improve our system in different aspects, not limited to what we already have
• Improve business KPIs by using new techniques/models and validating hypotheses
• Collaborate with other technical teams to exchange experiences to improve the overall Constructor.io system
• Be responsible for what you and your team do

Requirements

• 3+ years of professional experience in applied machine learning
• Excellent NLP knowledge (especially transformer-based approaches)
• Comprehensive knowledge of classical machine learning
• Extensive Python knowledge
• Experience with any DL framework (we’re using torch)
• Experience with any SQL dialect (we’re using SparkSQL, MySQL and a couple more dialects)
• You have delivered production ML systems
• Proficiency with big data stack for end-to-end ML product development (we’re using Pyspark for most of our pipelines)
• You are able to translate intuition into data-driven hypotheses that result in engineering solutions that bring significant business value
• Proactivity: you can't close your eyes to problems, but are ready to solve them
• You are friendly and willing to help your teammates & others
• Nice to have:

+ Experience designing, conducting, and analyzing A/B tests + Experience with Rust (or C/C++) + Experience with a public cloud like AWS, Azure, or GCP + Strong knowledge of data structures, algorithms and their trade-off + Empathy + Ability to explain difficult concepts + You love to work on performance optimization, such as increasing result quality and improving code performance

Benefits

• Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
• Fully remote team - choose where you live
• 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
• Work with smart people who will help you grow and make a meaningful impact
• Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results
• Stock options - offered in addition to the base salary
• Regular team offsites to connect and collaborate

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We're looking for a Senior Data Analyst to join our Retail Media team. As a key member of our cross-functional team, you will help us make data-driven product decisions, optimize customer and advertiser metrics, and scale the product.

Responsibilities

• Research product hypotheses to optimize main platform metrics for retailers and advertisers: ROAS, Ad spent, Churn Rate, etc.
• Work with PMs and Engineers to scope the most important insights we expect to extract from our data and improvements that we’d like to bring to the platform.
• Collaborate with technical and non-technical business partners to develop / update functionalities.
• Communicate with stakeholders within and outside the team.
• Own the results and business metrics for advertisers and retailers.
• Participate in late-stage sales process and building demos for prospect customers.

Requirements

• You are proficient in BI tools (data analysis, building dashboards for engineers and non-technical folks).
• You are an excellent communicator with the ability to translate business needs into a technical language and vice versa.
• You are excited to leverage massive amounts of data to drive product innovation & deliver business value.
• You are proficient at SQL (any variant), well-versed in exploratory data analysis with Python (pandas & numpy, data visualization libraries).
• Big plus is practical familiarity with the big data stack (Spark, Presto/Athena, Hive).
• You are adept at fast prototyping and providing analytical support for initiatives in the e-commerce space by identifying & focusing on relevant features & metrics.
• You are willing to develop and maintain effective communication tools to report business performance and inform decision-making at a cross-functional level.
• Big plus is AdTech industry experience.

Benefits

• Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
• Fully remote team - choose where you live
• 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
• Work with smart people who will help you grow and make a meaningful impact
• Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results
• Stock options - offered in addition to the base salary
• Regular team offsites to connect and collaborate

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Constructor is a U.S. based company that has been in the market since 2019, building a next-generation platform for search and discovery in ecommerce. Its search engine is entirely invented in-house, utilizing transformers and generative LLMs, and powers over 1 billion queries every day across 150 languages and roughly 100 countries.

Responsibilities

• Architect and build real-time agentic workflows to handle complex, multi-step user tasks and open-ended queries, providing users with accurate and contextually relevant answers and product suggestions
• Own the end-to-end data lifecycle for AI workflows, including vector database ingestion and indexing
• Design metrics to evaluate the relevance and performance of query results, ensuring alignment with business goals and user expectations
• Generate and rapidly prototype novel product hypotheses that leverage LLMs, RAG, and agentic systems
• Collaborate closely with Product, Design, Analytics, and other engineering teams to translate AI capabilities into tangible, high-quality product features
• Improve the speed, quality, and efficiency of our AI systems and engineering processes
• Take ownership of systems and designs from conception through to deployment and maintenance

Qualifications

• 4+ years of industry experience in related fields, including search, information retrieval, recommendation systems, applied machine learning, and NLP
• Excellent skills in delivering and communicating business value
• Proficient in Python, SQL, and the big data stack for end-to-end ML product development, with experience across the entire pipeline in typical recommendation systems or LLM-based solutions
• Strong grasp of Information Retrieval (IR) techniques (e.g., dense retrieval, re-ranking, chunking strategies)
• Direct experience with Retrieval-Augmented Generation (RAG); experience building autonomous agents is a strong plus
• Nice to have: experience with automatic prompt optimization techniques (e.g., DSPy)
• Solid understanding of ML evaluation methodologies and key IR metrics
• Passion for shipping high-quality products and a self-motivated drive to take ownership of tasks

Tech Stack

• Core: Python, FastAPI, asyncio, Airflow, Luigi, PySpark, Docker, LangGraph
• Data Stores: Vector Databases, DynamoDB, AWS S3, AWS RDS
• Cloud & MLOps: AWS, Databricks, Ray

Benefits

• Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
• Fully remote team - choose where you live
• 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
• Work with smart people who will help you grow and make a meaningful impact
• This position has a base salary range between $80k and $120k USD.

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