Lead Machine Learning Engineer

About Us Pearl is AI for professional services at global scale, combining advanced AI with verified human expertise to deliver help that is accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere. Our Values Data driven: Data decides, not egos Courageous: We take risks and challenge the status quo Innovative: We're constantly learning, creating, and adapting Lean: We focus on customers, using lean testing to learn how to serve them best Humble: Past success is not a guarantee of future success About the Role As a Lead Software Engineer in our Machine Learning department, you will take ownership of high-impact initiatives that drive product quality, monetization, and user experience. You'll apply your expertise in Python, data analysis, and modern AI tools to build, deploy, and optimize ML solutions end-to-end. This is a hands-on technical role that blends data science and engineering to deliver measurable business outcomes. You'll collaborate closely with cross-functional stakeholders and contribute to evolving areas such as LLMs, Generative AI, and ML infrastructure. The role offers exposure to complex data challenges and the opportunity to shape Pearl's AI-driven capabilities. What You'll Do Build, train, and deploy ML models that improve product performance and monetization. Collaborate with data, product, and engineering teams across multiple internal initiatives. Design and implement data pipelines for extraction, transformation, and analysis. Apply statistical and machine learning techniques to real-world business problems. Work on projects involving LLMs and Generative AI technologies. Analyze large datasets to identify trends, insights, and optimization opportunities. Integrate ML models into production systems and monitor their performance. Communicate findings and recommendations clearly to technical and non-technical sta