обновлено 5 дней назад
Senior Machine Learning Scientist (Agentic AI)
187 000 - 261 500$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Machine Learning Scientist - Agentic Experience (Python/LLMs): Designing and deploying multi-step agentic AI systems for personalized travel planning with an accent on autonomous agents, tool use, memory management, and multi-agent collaboration. Focus on building orchestration and evaluation frameworks, integrating LLMs with external tools, and mitigating prompt injection, hallucinations, and unsafe actions.
Location: San Jose, Seattle, or Austin, United States
Salary: $187,000–$261,500 annually in San Jose; $173,000–$242,500 annually in Seattle and Austin. Total cash may reach up to $299,000 in San Jose and $277,000 in Seattle or Austin.
Company
is a global travel technology company connecting travelers, partners, and advertisers through consumer brands, B2B services, and travel advertising.
What you will do
- Design, build, and evaluate multi-step agentic AI systems with planning, tool use, memory, and multi-agent collaboration.
- Research and implement agentic architectures such as ReAct, reflection loops, chain-of-thought prompting, and tool-augmented reasoning.
- Develop agent orchestration frameworks for task decomposition, delegation, failure handling, and recovery.
- Integrate large language models with external tools, APIs, databases, and code execution environments.
- Define evaluation frameworks measuring task success, reliability, latency, cost, and safety.
- Collaborate with product, engineering, and research teams, mitigate agentic-system risks, and mentor junior ML engineers and scientists.
Requirements
- 8+ years of related industry experience.
- Production or research experience designing and deploying agentic or multi-step AI systems.
- Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX.
- Experience with LLM APIs, orchestration libraries, external tools, APIs, and structured data sources.
- Solid understanding of prompt engineering, including chain-of-thought, few-shot prompting, and structured output generation.
- Experience defining ML evaluation frameworks, offline benchmarks, and production monitoring.
Nice to have
- PhD, MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field.
- Travel or e-commerce industry experience.
- ML publications, patents, or open-source contributions.
- Experience taking models from prototype to production with Machine Learning Engineering teams.
Culture & Benefits
- Work on AI-driven travel experiences used by millions of travelers worldwide.
- Medical, dental, and vision coverage.
- Paid time off and an Employee Assistance Program.
- Wellness and travel reimbursement, travel discounts, and IATAN membership.
- Inclusive and accessible recruiting experience with accommodation support.
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