Who you are - Master's degree in Computer Science or a related field. A Ph.D. is a plus - 8+ years of experience in machine learning or software engineering, including 3+ years in technical leadership or management roles - 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 - Proficiency in programming languages such as Python, Golang, C++ - Excellent problem-solving and analytical skills - Strong communication skills - Knowledge of software engineering best practices and experience with deploying machine learning models in production environments ### What the job involves - As the leader of a team of talented machine learning engineers, your foremost objective will be to establish a ML platform facilitating AI-powered enterprise search applications leveraging large language models (LLMs) - You will guide a team in architecting the ranking systems, developing a framework, and providing tools to ensure system health, while also solidifying model training and evaluation workflows - Your team will occupy a pivotal role connecting search infrastructure with ML-based ranking, and will ultimately be accountable for the stability and performance of enterprise search products built on top of the platform - Your team's ownership of the search platform is crucial to the company's search product lines, with success measured by its enablement capabilities - This platform should facilitate rapid iteration on model enhancements for relevance engineers, allowing them to improve ML metrics with a clear understanding of performance tradeoffs - Additionally, it should enable product engineers to develop novel search applications with ease - You will be responsible for guiding the team's technical direction, managing project timelines, and ensuring the robustness, efficiency, and innovation of our machine learning based search systems - Your team will collaborate closely with search infrastructure and relevance engineers, and partner with product, design, and customer success teams to jointly achieve business objectives - Recruit, hire, and mentor a high-performing team of machine learning engineers - Maintain a “system focus” mindset in your team - 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 - Ensure the successful execution of projects, from ideation and prototyping to production deployment - Collaborate with cross-functional teams to define project requirements and priorities - Drive the technical vision and strategy - 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 - Stay current with the latest advancements in the field and ensure that our projects leverage cutting-edge technologies - Implement best practices for model development, data pipelines, and model evaluation - Monitor and optimize the performance, scalability, and reliability of machine learning systems - Ensure that our AI solutions meet high standards of accuracy and efficiency - Collaborate with leadership, product managers, customer success staff, and other teams to align machine learning initiatives with business goals - Provide regular updates and reports on project status, challenges, and successes to stakeholders - Advocate for platform usability by gathering feedback from internal relevance and product engineers, and ensuring their workflows are fully supported ### Benefits - Fully paid medical, dental, and vision coverage with no premiums - Fully paid short-term disability, long-term disability, and life insurance - Free daily meals - Unlimited PTO - Unlimited paid sick days - 16 weeks of 100% paid parental leave - Medical, family care, and military leave - Competitive salary — we’re one of the best-paying companies in the Bay Area - 401(k) with matching - Equity and stock options - Commuter and parking benefits