Software Engineer, Machine Learning Infrastructure
Tasks
- Build distributed training and inference pipelines
- Design scale inference infrastructure for low latency
- Develop systems for high throughput GPU inference
- Leverage GPUs for model and data parallelism
- Own AI and ML infrastructure
- Prototype deploy and productionalize ML architectures
Perks/Benefits
- Cell phone and internet allowance
- Childcare allowance
- Dental insurance
- Flexible time off
- Health insurance
- Home office setup allowance
- Parental leave
- Retirement 401k match
- Vision insurance
- Wellness allowance
- Work from home support
Skills/Tech-stack
AWS Kinesis | AWS Lambda | AWS SageMaker | Amazon DynamoDB | Amazon EC2 | Amazon ECS | Amazon EKS | Amazon S3 | Apache Flink | Apache Kafka | Data parallelism | Datadog | Distributed Training | Elasticsearch | Grafana | High Throughput | Inference | Low Latency | Model Parallelism | PostgreSQL | Python | Redis
Regions
Countries
States
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