MLOps Engineer: ML Recall Team (Remote)

March 19

Constructor

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Ecommerce product search and discovery that increases revenue, conversions, and profit.

Search • E-commerce • Product Discovery • Personalization • SaaS

51 - 200

💰 $55M Series A on 2021-09

Description

• 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 • 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. • Experience with Rust (or C/C++) • Strong knowledge of data structures, algorithms and their trade-off

Requirements

• 85-110k USD + stock options

Benefits

• Unlimited vacation time: we strongly encourage all of our employees take at least 3 weeks per year • A competitive compensation package including stock options • Company sponsored US health coverage (100% paid for employee) • 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 • Parental leave for qualified employees • Work with smart people who will help you grow and make a meaningful impact