About Us
Constructor is a search and discovery platform for ecommerce, built to optimize refugee, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs.
The Team
The ML Recall team delivers measurable KPI improvements for our customers in search, driving better relevance and user satisfaction. We’re focused on building transparent, reproducible, and scalable data-intensive workflows.
Challenges you’ll tackle
- Build, deploy, and maintain our search services, including I/O-bound web services, CPU- and GPU-bound workloads, and data services
- Develop using AWS CloudFormation, AWS CDK, Jenkins, and GitHub Actions
- Optimize system performance, particularly for scaling large ML models efficiently
- Maintain and enhance our observability stack, including tools like Prometheus, Grafana, PagerDuty, and AWS CloudWatch
- Collaborate with both technical and non-technical stakeholders to design and evolve search functionality
Requirements
- Excellent communicator with a passion for performance optimization
- Excited to build scalable ML platforms and practical search systems
- Strong proficiency in Python
- Proven experience designing, developing, and maintaining high-load, distributed, real-time services
- Demonstrated experience setting up and improving CI/CD pipelines
- Hands-on experience with cloud platforms (AWS preferred) and Infrastructure as Code (e.g., Terraform, CloudFormation)
- Proficiency with big data technologies across the end-to-end ML product lifecycle
- Solid experience in server-side web service development and API design
What can help to stand out
- Experience with Rust or another low-level programming language
Benefits
- Unlimited vacation time
- Fully remote team
- Work from home stipend
- Apple laptops provided for new employees
- Training and development budget for every employee, refreshed each year
- Maternity & Paternity leave for qualified employees
- Work with smart people who will help you grow and make a meaningful impact
- Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results
- Stock options
- Regular team offsites to connect and collaborate
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