Applied AI ML Director
Palo Alto, CA, United States
USD 150K-210K (estimate) Executive-level Full Time
Tasks
- Architect microservices for LLM Suite
- Architect production LLM based systems
- Bridge AI research with engineering
- Build scalable reusable APIs and agentic workflows
- Coordinate with ML Engineering Product Management and Cloud Engineering
- Implement continuous improvement for LLM systems
- Lead engineering teams for production AI delivery
- Optimize reliability scalability and performance
- Own end to end delivery and performance of LLM products
Perks/Benefits
- Backup childcare
- Financial coaching
- Health care coverage
- Mental health support
- On-site health and wellness centers
- Retirement savings plan
- Tuition reimbursement
Skills/Tech-stack
Agentic Workflow | Agentic Workflow Orchestration | Computer Vision | DAG | Data parallelism | Deep learning | DeepSpeed | Distributed Training | FP16 | GPTQ | GRPC | Graph optimization | GraphQL | Horovod | IA3 | INT8 | Language Models | Language Processing | Large Language Models | LoRA | Load Balancing | Machine Learning | Microservices | Model Parallelism | Model Quantization | Multimodal Learning | Multithreading | NLP | Natural Language | Natural Language Processing | Optimization | Pipeline parallelism | Protocol Buffers | QLoRA | Quantization aware training | REST | Ray | Statistics | Streaming | Workflow Orchestration
Education
Regions
Countries
States
Cities
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