MLOps Engineer: ML Recall Team (Remote)

About us

Constructor is the only search and product discovery platform tailor-made for enterprise ecommerce where conversions matter. Constructor's AI-first solutions make it easier for shoppers to discover products they want to buy and for ecommerce teams to deliver highly personalized experiences that drive impressive results. Optimizing specifically for ecommerce metrics like revenue, conversion rate and profit, Constructor generates consistent $10M+ lifts for some of the biggest brands in ecommerce, such as Sephora, Petco, home24, Maxeda Brands, Birkenstock and The Very Group. Constructor is a U.S. based company that was founded in 2015 by Eli Finkelshteyn and Dan McCormick. For more, visit: constructor.io.

ML recall team consistency deliver KPI lifts for our customers in search and make our DS part more transparent for our customers.

Challenges you will tackle

• Build, deploy, and support our search service including io-bound web services, cpu-bound services and data services
• Write AWS CloudFormation scripts, Jenkins jobs, Bash scripts, and Github actions
• Work on system performance optimization (esp. in case of using large ML models)
• Set up service observability, monitoring metrics, and alerting (Prometheus, Grafana, PagerDuty, AWS CloudWatch)
• Collaborate with technical and non-technical business partners to develop / update search functionalities
• Work on ML improvements

About you

• You are excited about building performance ML platform and practical search systems for 200M+ requests per day.
• You are an excellent communicator
• You love to work on performance optimization

• Proficiency in Infrastructure as Code (IaC) tools like CloudFormation or Terraform for managing cloud resources
• Python knowledge
• Familiarity with Service-Oriented Architecture, knowledge of communication protocols like protobuf & familiarity with networking principles
• Hands-on experience with setting up and improving CI/CD pipelines (we're using Jenkins and Github Actions)
• Proficiency with big data stack for end-to-end ML product development
• Experience in designing, developing & maintaining highload distributed real-time services
• Experience with cloud providers (any kind of, we're using AWS)
• Experience with NoSQL and relational databases and distributed systems
• Experience in server-side coding for web services, and a good understanding of API design principles.

• Will be a huge plus
• Experience with Rust (or C/C++)
• Strong knowledge of data structures, algorithms and their trade-off

Salary for this position 80-110k USD + stock options