Senior Machine Learning Engineer

Summary

Join the Personalization team within Constructor.io's Machine Learning Chapter and Engineering Department, where you'll build and deploy robust ML systems for personalized product discovery. You will drive research initiatives, conceptualize new personalization features, and collaborate on system architecture. This role requires expertise in machine learning, personalized recommendation systems, and big data tools. The position offers a competitive salary, stock options, a work-from-home bonus, fully remote work, and various employee benefits including a work-from-home stipend, Apple laptops, a training budget, parental leave, and a commitment to diversity and inclusion.

Requirements

• Be Data-Driven and Customer-Focused: Able to translate insights into data-driven hypotheses and engineering solutions that drive business value. Be passionate about experimentation, and using customer feedback to inform decisions and drive results
• Have Personalization Experience: Background in personalized recommendation systems, ranking models, or search relevance
• Possess ML Expertise: Be proficient in machine learning with hands-on experience in applying modern personalized architectures
• Demonstrate a Proven Ability to Deliver: Have experience in building and deploying production ML systems, and using A/B testing to validate their value
• Possess Programming Languages and Tools skills: Have excellent Python skills, experience with at least one DL framework, be proficient in SQL, and be comfortable with big data tools (Spark, Presto/Athena, Hive)
• Have ML Workflow Management experience: Have experience with data pipeline orchestration (e.g., Airflow) for automating ML workflows
• Have Effective Communication skills: Clearly explain complex technical concepts and data insights to both technical and non-technical audiences

Responsibilities

• Build and deploy robust ML systems / algorithms for personalized product discovery experiences
• Drive research initiatives to ensure the team adopts an innovative approach and integrates state-of-the-art techniques
• Conceptualize and implement new personalization features and products that meet customer needs, drive revenue growth and enhance other business KPIs
• Collaborate in architectural discussions and optimize the system architecture of the Personalization domain

Benefits

• Compensation: base range of 90-110k USD + stock options + work from home bonus
• 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
• Parental leave for qualified employees
• Work with smart people who will help you grow and make a meaningful impact