Senior Software Engineer, Machine Learning Infrastructure (Tinder LLC, West Hollywood, California)
Tasks
- Build ML platform systems and data infrastructure
- Build data processing and moderation pipelines
- Conduct proofs of concept for emerging ML infrastructure technologies
- Deploy and manage production machine learning systems
- Design and optimize moderation data pipelines
- Design and optimize recommendation systems pipelines
- Design and tune large scale data pipelines and database systems
- Design build and maintain machine learning infrastructure
- Develop and maintain GraphQL APIs
- Develop and maintain REST APIs
- Develop and maintain gRPC APIs
- Ensure reproducibility reliability and operational stability
- Implement feature stores for ML lifecycle
- Implement observability and monitoring for ML systems
- Investigate and resolve distributed systems performance scalability reliability issues
- Lead technical initiatives across engineering teams
- Maintain technical documentation
- Perform model evaluation validation and quality assurance
- Run A B testing for model evaluation
- Support experimentation training deployment and monitoring of machine learning models
Perks/Benefits
Skills/Tech-stack
AWS | Amazon ECS | Amazon EKS | Apache Flink | Apache Kafka | Apache Spark | Azure | Blue/green | Blue/green deployments | Buildkite | CI/CD | Canary Releases | Cloud platform | Data Warehouse | Database optimization | Databricks | Delta Lake | Distributed Systems | Docker | DynamoDB | GitOps | Go | Google Cloud | Google Cloud Platform | Grafana | Grafana Mimir | Helm | Infrastructure as Code | Java | Jenkins | Kubernetes | Language Models | Large Language Models | Machine Learning | Moderation pipelines | NVIDIA Triton | Prometheus | Python | Ray Serve | Recommendation Systems | Redis | Scala | Terraform | Terragrunt | Valkey | Zero-downtime | Zero-downtime migration | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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