MLOps: ML Recall

Overview

Job Description

Responsibilities

• - 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
• - Contribute to broader ML improvements across the platform

Required Skills

• - 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

Benefits

• - Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
• - 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
• - 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 - offered in addition to the base salary
• - Regular team offsites to connect and collaborate