Angi® is defining the future of the home services industry, creating an environment where homeowners, pros, and employees benefit from more jobs done well. The Staff Machine Learning Engineer will lead the development and deployment of machine learning models to enhance user experience and engagement, while also collaborating with cross-functional teams to integrate data-driven solutions.
Responsibilities:
- Lead development of machine learning models and algorithms to improve our search ranking and how we match consumers with pros
- Implement robust MLOps practices to ensure the seamless deployment and scalability of machine learning models
- Work closely with a strong team of engineers, data scientists, product managers, and designers to build scalable and high-impact machine learning systems
- Foster innovation within the team, exploring new approaches and techniques to solve complex business problems
- Guide junior team members and foster a culture of continuous learning and technical excellence
Requirements:
- You have a Master's or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields)
- You have 7+ years of experience in data science & machine learning, with a focus on real-time ML models, ideally within the tech industry & marketplace environments
- You are an expert in machine learning and deep learning, and have a good working knowledge of large language models
- You have a proven track record of deploying highly impactful machine learning models into production environments
- You are proficient in SQL and Python, and have experience with cloud ML solutions
- You have excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders