Senior Machine Learning Engineer

Overview

Job Description

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 system
• - Be responsible for what you and your team do

Required Skills

• - 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

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
• - Stock options - offered in addition to the base salary
• - Regular team offsites to connect and collaborate