Staff Machine Learning Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Staff Machine Learning Engineer (AI): Developing generative AI platforms, AI agents, and multi-agent systems for network intelligence with an accent on RAG, knowledge bases, and LLM fine-tuning. Focus on designing large distributed systems, optimizing big data workflows, and building high-performance AI core solutions.
Location: Hybrid in Seattle, WA (Legal authorization to work in the US is required)
Salary: $160,000–$200,000
Company
Global leader in cloud-driven networking solutions serving over 50,000 customers worldwide.
What you will do
- Develop platforms for Generative AI, including AI Agents, RAG, and Knowledge Bases.
- Implement data mining, anomaly detection, and LLM fine-tuning for network intelligence.
- Design and architect large distributed systems on cloud platforms such as AWS, Azure, or Google Cloud.
- Build intelligent multi-agent systems that perceive, learn, and act in real time.
- Mentor engineers and lead technical design and architecture for the AI Core group.
Requirements
- Must have legal authorization to work in the United States.
- 8+ years of experience in the complete software development lifecycle.
- 6+ years of professional experience with Python and its advanced libraries.
- Expertise in designing RESTful APIs with hands-on experience using FastAPI.
- Proficiency in Docker, Kubernetes, and modern CI/CD practices.
- Experience leading the design and architecture of large distributed systems.
Nice to have
- MS or PhD in Computer Science or equivalent experience in ML.
- Experience with ML technologies such as PyTorch, Sagemaker, Triton, or TensorRT.
- Experience with NoSQL and document databases.
- Proven ability to handle big data and optimize system performance.
Culture & Benefits
- Comprehensive medical, dental, and vision insurance.
- Flexible work schedules and work-from-home opportunities where role permits.
- Paid time off, including open time off in eligible markets.
- Retirement savings programs and Employee Stock Purchase Program.
- Tuition reimbursement and employee assistance program.
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