Moveworks is looking to improve the ranking and relevance of their AI-powered enterprise search applications, which leverage large language models (LLMs) and RAG-based objectives.
Requirements
- Proficiency in programming languages such as Python, Golang, C++.
- Knowledge of software engineering best practices and experience with deploying machine learning models in production environments.
- Proven technical expertise that has been recognized at Staff Engineer (comparable to Google/Meta L6) or above level.
- Proven experience managing high-performing teams, including mentoring and supporting Staff-level (I6) or higher engineers, with a strong track record of delivering technically ambitious, production-grade projects.
- Experience in applied machine learning preferably in the ranking/relevance domain.
Responsibilities
- Measure and improve the ranking and relevance of our AI-powered enterprise search applications.
- Measure and improving RAG-based objectives such as summarization, groundedness of responses, and citation correctness and completeness.
- Guide the team to drive end-to-end development of machine-learning models, including data synthesis, feature engineering, experiment design, evaluation and more.
- Guide the integration and application of large language models (LLMs) and retrieval-augmented generation (RAG) techniques to enable modern, intelligent search experiences.
- Oversee the research, development, and deployment of machine learning models and algorithms.
- Implement best practices for model development, data pipelines, and model evaluation.
- Monitor and optimize the performance, scalability, and reliability of machine learning systems.
Other
- Recruit, hire, and mentor a high-performing team of machine learning engineers.
- Maintain a “ranking and relevance” mindset in your team, developing a thought leadership on our long-term relevance roadmap.
- Foster a collaborative and inclusive team culture, promoting knowledge sharing and continuous learning.
- Set clear goals, provide regular feedback, and promote professional growth and development of team members.
- Develop and manage project plans, timelines, and budgets for machine learning initiatives.
