MLOps Engineer (ML Recall Team)

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.

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 80-110k USD + stock options.

Benefits

• Unlimited vacation time: we strongly encourage all of our employees to 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.