4 дня назад
Principal Machine Learning Engineer (AI-ML Data Scientist - ADEM)
163 200 - 264 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Machine Learning Engineer (AI-ML Data Scientist - ADEM) (AI/ML, GenAI, AIOps): Building production-grade agentic workflows, reasoning pipelines, retrieval systems, and knowledge graph integrations for an autonomous AIOps platform with an accent on LLMs, endpoint telemetry, scalability, and backend rearchitecture. Focus on designing self-correcting AI agents, integrating RAG and statistical models, optimizing large-scale data foundations, and delivering reliable production services.
Location: Santa Clara, California, United States. Most teams work from the office full time.
Salary: $163,200–$264,000 per year base salary. Additional compensation may include restricted stock units and a bonus.
Company
Cybersecurity organization developing technology to protect digital environments and build AI-powered security capabilities.
What you will do
- Design and implement ML, LLM, and GenAI-powered agents with planning, multi-step execution, self-correction, and human or agent collaboration.
- Build reasoning pipelines, RAG retrieval systems, and knowledge graph integrations for autonomous task execution and network troubleshooting.
- Build, fine-tune, and adapt LLMs, multimodal models, specialized agent models, and traditional statistical models for endpoint telemetry.
- Develop solutions from prototype to production with strong scalability, reliability, safety, observability, and performance.
- Establish practices for prompt design, agent memory, tool usage, and context optimization.
- Evaluate agent frameworks, LLM tooling, and generative AI technologies to guide platform architecture and roadmap decisions.
Requirements
- 8+ years of software engineering experience deploying production-grade ML, GenAI, or agentic workflows at scale.
- Strong Python skills for AI/ML and professional Go or Java experience for backend microservices.
- Experience with SQL, BigQuery schema design and restructuring, and scalable data pipelines using Dataflow, Google ADK, and GKE.
- Understanding of RAG, prompt engineering, model evaluation, and statistical modeling.
- Ability to build platform-level services integrating with adjacent ecosystems such as Prisma Access and Cortex.
- BS/MS in Computer Science, Data Science, Engineering, or a related field.
Nice to have
- Knowledge of L3–L7 networking.
Culture & Benefits
- In-person collaboration is emphasized for real-time problem-solving and stronger working relationships.
- Employee benefits are available in addition to base compensation.
- Additional compensation may include restricted stock units and a bonus.
- Immigration sponsorship is available for eligible candidates.
- Reasonable accommodations are provided for qualified individuals with disabilities or special needs.
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