Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Candidates should possess 8+ years of industry experience building production Machine Learning systems, along with an MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field. They should also have experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks, and proficiency in building and deploying full-stack machine learning pipelines.
The Staff Machine Learning Engineer will lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience, conduct deep dives into algorithmic components and systems, ensuring model optimization for performance and scalability, build and deploy high-impact robust ML pipelines, and work closely with Product, Engineering, and Data Science teams to align on product requirements and deliver machine learning-driven solutions that improve user engagement.
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