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# Senior Machine Learning Scientist - Agentic Experience

- **Company:** Ask Me HR, LLC
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Salary:** $187,000 - $261,500
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Databases, Software Design Patterns, Memory Management, Python (Programming Language), Machine Learning, Open Source Technology, Tensorflow, Pytorch, ReactJS, Large Language Models, Multi-Agent Systems, Prompt Engineering, Llamaindex, Agentic-AI, Information Technology, Structured Output Generation, Machine Learning Operations
- **Published:** November 12, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-machine-learning-scientist-agentic-experience-san-jose-ca--782044b7-2005-4f9f-b096-a4c2b614df61

## About the Role

Machine Learning, Willing to Travel, Advertising, Consumer Branding, Travel Industry, Business-to-Business (B2B), Technical Leadership, Machine Learning, Customer Experience, Artificial Intelligence (AI), * 8+ years of related industry experience

 * Demonstrated experience designing and deploying agentic or multi-step AI systems (e.g., ReAct, tool-calling agents, multi-agent pipelines) in production or research settings
 * Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX); experience with LLM APIs and orchestration libraries (e.g., LangChain, LlamaIndex, or similar)
 * Experience integrating LLMs with external tools, APIs, and structured data sources for real-world task completion
 * Solid understanding of prompt engineering techniques including chain-of-thought, few-shot prompting, and structured output generation
 * Experience defining and running evaluation frameworks for ML systems, including offline benchmarking and production monitoring

Preferred Qualifications:

 * PhD, MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field; or equivalent professional experience
 * Experience in the travel or e-commerce industry
 * Publications in top-tier ML conferences or journals
 * Patented Inventions, pending and issued
 * Contributions to open-source ML projects
 * Experience taking models from prototype to production in collaboration with Machine Learning Engineering teams

## Description

* Design, build, and evaluate multi-step agentic AI systems, including autonomous agents capable of planning, tool use, memory management, and multi-agent collaboration
 * Research and implement state-of-the-art techniques in agentic architectures, such as ReAct, reflection loops, chain-of-thought prompting, and tool-augmented reasoning
 * Develop and maintain agent orchestration frameworks, defining how agents decompose tasks, delegate to sub-agents, and handle failure and recovery
 * Integrate large language models (LLMs) with external tools, APIs, databases, and code execution environments to enable real-world task completion
 * Define and own evaluation frameworks for agentic systems, measuring task success, reliability, latency, cost, and safety across diverse benchmarks and production scenarios
 * Collaborate closely with product, engineering, and research teams to translate business requirements into agentic system designs and deliver production-grade solutions
 * Identify and mitigate risks specific to agentic systems, including prompt injection, unintended actions, hallucination in long-horizon tasks, and unsafe tool use
 * Stay current with the rapidly evolving agentic AI landscape, synthesizing academic research and industry developments to inform the team's technical direction
 * Mentor junior ML engineers and scientists, providing technical guidance on agentic design patterns, LLM best practices, and experimentation methodology