Machine Learning Engineer: Recommendations (Remote)

Constructor.io powers product search and discovery for the largest retailers in the world, serving billions of requests every year: you have most likely used our product without knowing it. Each year we are growing in revenue and scale by several multiples, helping customers in every eCommerce vertical around the world.

We love working together to help each other succeed and are committed to maintaining an open, cooperative culture as we grow. We get to the right answer with empathy, ownership, and passion for making an impact.

About the Team

The Recommendations team, within the Engineering Department, plays an important role in implementing algorithms that optimize for business KPIs like revenue & conversions for our Recommendations product. We focus on metrics over features, arming our recommendation algorithms with powerful capabilities that bring value to customers in the way they care the most about. 

The team consists of a mix of designers, full-stack, and machine learning engineers owning & collaborating on multiple projects. As a member of the Recommendations team, you will participate in defining our product strategy & prioritization as well as use world-class analytical, engineering & machine learning techniques to evolve and scale our recommendation algorithms.

Challenges you will tackle

• Create a cutting-edge personalized recommendation system using ML, engineered to handle over 100 million requests per day seamlessly.
• Design & deliver new recommendation features & products to satisfy customer needs & drive revenue growth in an efficient manner
• Improve business KPIs by validating hypotheses with new recommendation features & techniques
• Participate in strategic planning, brainstorming & prioritization sessions to improve the recommendations product 
• Collaborate with technical and non-technical business partners to develop analytical dashboards that describe the impact of recommendations to stakeholders.

• You have a strong knowledge of machine learning fundamentals.
• You excel at Python, have proficiency with any variant of SQL, and feel comfortable with the big data stack like Spark, Presto/Athena & Hive.
• You have delivered production ML systems and conducted A/B tests to validate their value.
  
  
• Excellent English communication skills.
• Passion for helping others grow and succeed as developers.
• Data-driven mindset with a passion for experimenting and using customer feedback to drive decision-making.
• Strong strategic planning and prioritization skills.
• Continuous learning and tracking of recent advancements in the field of AI and ML

Also nice to have:

• Experience with building recommendation or ranking systems.
• Experience with building high-load real-time ML systems.
• Proficient in server-side coding for web services and understanding API design principles. 
• Experience with NoSQL, distributed systems, and caching solutions.