[Hiring] MLOps Engineer: ML Recall Team @Constructor

About us

Constructor powers product search and discovery for some of the largest retailers in the world, like Sephora and Petco. We serve billions of requests every day, and you’ve probably seen our results somewhere and used our product without knowing it. We differentiate ourselves by focusing on metrics over features, and reinventing search and discovery from the ground up as a machine learning challenge with the specific goal of improving metrics like revenue. We have grown several hundred percent YoY for the last 2 years and have customers in every eCommerce vertical, around the world, and spanning many languages.

We’re a passionate team of technologists who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they think is best can lead to great things.

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

• 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

Requirements

• 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 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

Diversity, Equity, and Inclusion at Constructor

At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.