Senior Machine Learning Engineer, Jockey Core
Tasks
- Adopt AI-assisted development tools
- Build benchmarks and load tests
- Build cost models for production
- Collaborate on model efficiency to improve serving
- Drive production hardening for scale out
- Implement observability and failure response
- Lead LLM serving engineering for Jockey Core
- Optimize inference for latency and cost
Perks/Benefits
- Conference allowance
- English education program
- Equipment stipend
- Flu vaccination support
- Global buddy program
- Health checkup for employee and family
- Hybrid work
- Meal and Snack Benefits
- Paid holiday break
- Private insurance
- Self-development allowance
- Taxi reimbursement for late and weekend commute
- Unlimited LLM token support
Skills/Tech-stack
Autoscaling | Batching | Capacity Planning | Disaggregated Prefill | Disaggregated prefill decode | Distributed Systems | Failover | GPU Computing | Inference Optimization | LLM Inference | Language Model | Large Language Model | Machine Learning | Observability | Prefill Decode | Quantization | Rollback Deployment | SGLang | SLOs | Scheduling | Speculative decoding | TensorRT-LLM | VLLM
Education
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