Machine Learning Scientist III (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Machine Learning Scientist III (AI): Designing and implementing autonomous, multi-step agentic AI systems to revolutionize traveler experiences with an accent on agent architectures, tool-augmented reasoning, and memory management. Focus on building orchestration frameworks, optimizing LLM-tool integration, and developing rigorous evaluation benchmarks for reliability and safety.
Location: Austin, Texas (Flexible work model)
Salary: $137,500 – $192,500 (up to $220,000 based on performance)
Company
is a global travel technology platform that powers multiple travel brands to provide personalized experiences for millions of travelers worldwide.
What you will do
- Design and evaluate multi-step agentic AI systems capable of autonomous planning, tool use, and multi-agent collaboration.
- Research and implement state-of-the-art architectures such as ReAct, reflection loops, and chain-of-thought prompting.
- Develop agent orchestration frameworks for task decomposition, delegation, and failure recovery.
- Integrate LLMs with external tools, APIs, databases, and code execution environments.
- Define and own evaluation frameworks to measure reliability, latency, cost, and safety.
- Collaborate with product and engineering teams to translate requirements into production-grade AI solutions.
Requirements
- PhD, MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or equivalent experience.
- 5+ years of related industry experience.
- Demonstrated experience deploying agentic or multi-step AI systems in production or research settings.
- Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
- Experience with LLM APIs and orchestration libraries like LangChain or LlamaIndex.
- Must be authorized to work in the United States (E-Verify participant).
Nice to have
- Experience in the travel or e-commerce industry.
- Publications in top-tier ML conferences or journals.
- Patented inventions or contributions to open-source ML projects.
- Experience transitioning models from prototype to production.
Culture & Benefits
- Full benefits package including medical, dental, and vision insurance.
- Flexible work model with access to modern office spaces.
- Exciting travel perks, including travel discounts and wellness reimbursement.
- Generous time-off, parental leave, and an Employee Assistance Program.
- Inclusive culture focused on career development and belonging.
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