Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Candidates should have 8+ years of industry experience building production Machine Learning systems, and an MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field. Experience with deep learning technologies like TensorFlow or PyTorch for recommendation systems is required, along with proficiency in building and deploying full-stack ML pipelines. A solid understanding of statistical concepts and the ability to analyze ML system architecture are also necessary.
The Staff Machine Learning Engineer will lead the design, development, and implementation of advanced recommendation systems and algorithms. They will conduct deep dives into algorithmic components and systems to optimize performance and scalability. Responsibilities include building and deploying robust ML pipelines, continuously monitoring and optimizing deployed models, and collaborating with Product, Engineering, and Data Science teams to deliver machine learning-driven solutions.
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