Remote (Global)

Constructor is hiring a Senior Machine Learning Engineer: ML Recall

About the Role

Constructor is hiring a Senior Machine Learning Engineer to build and optimize machine learning and deep learning models that improve customer experience by delivering the best results in relevancy and marginality. Your work will focus on recall, visual solutions, and technical platform development.

What You'll Do

  • Build and deploy robust ML systems for search, including text/image and multimodal approaches.
  • Tune LLMs to improve our system in different aspects.
  • Improve business KPIs by using new techniques/models and validating hypotheses.
  • Collaborate with other technical teams to exchange experiences and improve the overall Constructor.io system.
  • Be responsible for what you and your team do.

What We're Looking For

  • 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 use torch).
  • Experience with any SQL dialect (we use SparkSQL, MySQL and a couple more).
  • You have delivered production ML systems.
  • Proficiency with big data stack for end-to-end ML product development (we use Pyspark for most pipelines).
  • You can translate intuition into data-driven hypotheses that result in engineering solutions bringing 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-offs.
  • Empathy.
  • Ability to explain difficult concepts.
  • You love to work on performance optimization, such as increasing result quality and improving code performance.

Technical Stack

  • Python
  • torch
  • Pyspark
  • SparkSQL
  • MySQL

Team & Environment

You'll join the Machine Learning Recall team.

Benefits & Compensation

  • Compensation: $80k-$120k USD
  • 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.
  • 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.
  • Regular team offsites to connect and collaborate.

Work Mode

This is a fully remote position open to a global team.

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.

Required Skills
PythontorchPySparkSparkSQLMySQLMachine LearningInformation RetrievalSearchRecommendation SystemsDistributed SystemsData PipelinesModel TrainingSoftware EngineeringA/B TestingMLOps PythontorchPySparkSparkSQLMySQLMachine LearningInformation RetrievalSearchRecommendation SystemsDistributed SystemsData PipelinesModel TrainingSoftware EngineeringA/B TestingMLOps
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About company
Constructor
Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Its search engine is entirely invented in-house utilizing transformers and generative LLMs, and powers capabilities from search to recommendations to shopping agents. It handles over 1 billion queries daily across 150 languages and ~100 countries, serving major ecommerce brands like Sephora, Under Armour, and Petco.
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Posted 9 months ago