Senior Software Engineer, Machine Learning Infrastructure (Tinder LLC, West Hollywood, California)
Tasks
- Build and maintain ML platform APIs
- Build distributed data pipelines and analytics systems
- Conduct technical interviews and support hiring
- Create technical documentation and operational guides
- Deploy and monitor production machine learning systems
- Design and build machine learning infrastructure
- Design feature stores and evaluation systems
- Design recommendation systems and moderation pipelines
- Develop data processing and moderation pipelines
- Diagnose and resolve distributed systems issues
- Implement model evaluation validation and quality assurance
- Maintain machine learning training experimentation and deployment systems
- Mentor junior engineers
- Optimize compute and storage resources
- Research and evaluate ML infrastructure technologies
- Run A B testing frameworks
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Amazon ECS | Amazon EKS | Apache Flink | Apache Kafka | Apache Spark | Azure | B testing | Blue/green | Blue/green deployments | Buildkite | CI/CD | Canary Releases | Cloud platform | Data Engineering | Data Warehousing | Databricks | Delta Lake | Distributed Systems | Docker | DynamoDB | Feature Stores | GRPC | GitOps | Go | Google Cloud | Google Cloud Platform | Grafana | Grafana Mimir | GraphQL | Helm | Infrastructure as Code | Java | Jenkins | Kubernetes | LLM serving | Machine Learning | NVIDIA Triton | Prometheus | Python | REST | Ray Serve | Redis | Scala | Terraform | Terragrunt | Timeseries data | Zero-downtime | Zero-downtime migrations | “as-code”
Education
Regions
Countries
States
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