Senior Machine Learning Engineer

Summary

Join Constructor's Machine Learning Recall team as a Senior MLE to build and optimize ML/DL models for search, enhancing customer experience and improving business KPIs. You will build and deploy robust ML systems, tune LLMs, collaborate with other teams, and be responsible for your team's work. The role requires 3+ years of experience in applied machine learning, excellent NLP knowledge, and proficiency with big data stacks. Constructor offers a fully remote work environment, unlimited vacation time, a work-from-home stipend, Apple laptops, a training and development budget, maternity/paternity leave, and regular team offsites. The base salary range is $80k-$120k USD.

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

Responsibilities

• 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

Preferred Qualifications

• 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
• Regular team offsites to connect and collaborate