Machine Learning Engineer

At Angi, we’ve had one simple mission for 30 years: get jobs done well. We make it happen by connecting homeowners with reliable pros who have the skills they need — and connecting pros with homeowners who have the jobs they want.

Angi at a glance:

• A new homeowner turns to Angi every second
• Our network has 150,000+ skilled pros in 50+ service categories
• + projects brought to Angi (and counting)

Angi is defining the future of the home services industry, creating an environment where homeowners, service professionals and employees benefit from more jobs done well.

For homeowners, our platform makes it easier than ever to find a skilled pro for repairs, renovations, and everything in between. For pros, we're a business partner who helps them find the work they want and grow their business.

We believe home is the most important place on earth, and so we work hard for our homeowners and our pros — making a real impact on families, communities, and livelihoods.

Angi is an amazing place to call home. We can’t wait to welcome you.

Angi is seeking an exceptional Staff Machine Learning Engineer to join our Data Science and Machine Learning team, playing a pivotal role in transforming our platform into a world-class online marketplace. This technical leadership position involves tackling complex challenges such as homeowner-pro search ranking and leveraging predictive models to enhance our product and consumer experience. The ideal candidate will apply state-of-the-art machine learning and AI techniques to solve Angi’s marketplace problems, demonstrating proficiency in software engineering.

Additionally, the role requires close collaboration with the platform team to deploy models and services at scale with low latencies, ensuring seamless integration and high performance.

• Model Development: Lead development of advanced machine learning and AI models to improve our marketplace algorithms (e.g. search ranking, recommendation and matching solutions). Success in these areas will impact user experience & engagement, retention, and conversion rates - critical metrics for business success.
• Model Deployment and Engineering: Design and architect robust MLOps practices to ensure the seamless deployment and scalability of machine learning models. This includes automating model training, optimizing runtime performance of models, and deployment processes to enable fast, reliable delivery of machine learning solutions into production environments.
• Collaboration with Cross-Functional Teams: Work closely with a strong team of engineers, ml infra team, data scientists and product managers to build scalable and high-impact machine learning systems. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services.
• Innovation: Develop a long-term technical vision; propose a roadmap for team setting clear objectives. Play a vital role in the design and implementation of new products and features, while also enhancing the existing product suite with innovative machine learning capabilities.
• Mentorship: Guide junior team members and foster a culture of continuous learning and technical excellence. Lead and encourage knowledge sharing to enhance the team's capabilities in advanced machine learning techniques from both industry and academia.

• You hold a Master’s or Ph.D. in a quantitative field, such as Computer Science, Statistics, Mathematics, or a related discipline.
• You possess 7+ years of experience in data science and machine learning, ideally within the tech industry and marketplace environments.
• You are knowledgeable about large-scale distributed application architecture, design, implementation, and performance tuning.
• You have the ability to drive the roadmap and direction of scalable, production-quality systems end-to-end, and effectively communicate cross-functionally with Product and Engineering teams.
• You have practical knowledge of advanced machine learning algorithms and deep learning to deploy for search systems, information retrieval, and ranking algorithms.
• You are…