Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The role involves leading the development of machine learning models for search ranking and consumer-pro matching, implementing MLOps practices for model deployment and scalability, and collaborating with cross-functional teams of engineers, data scientists, product managers, and designers.
The role requires expertise in state-of-the-art machine learning and AI techniques including LLMs and neural rankers, experience with model development on structured and unstructured data, MLOps practices for deployment, versioning, monitoring, and low-latency scaling.
You will work on the Data Science and Machine Learning team, collaborating closely with engineers, data scientists, product managers, and designers to build scalable ML systems.
Angi fosters an environment dedicated to making a real impact on families, communities, and livelihoods by connecting homeowners with skilled pros, with a mission to get jobs done well and shape the future of the home services industry.
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Sustainability consulting for ESG performance ratings
Angi Sustainability focuses on sustainability consulting by providing Environmental, Social, and Governance (ESG) performance ratings and science-based targets for investments. The company collaborates with organizations like the Carbon Disclosure Project and the United Nations Global Compact to help institutional investors and corporations improve their ESG practices. Angi Sustainability stands out by offering both consultancy services and subscription-based analytical tools, allowing clients to measure and enhance their sustainability efforts. The goal is to support clients in making responsible investment decisions and advancing their sustainability initiatives.