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Role
Who you are
9+ years of industry experience in applied Machine Learning with a BS/Masters or 7+ years with a PhD
Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills
Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection) and algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization)
Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models
Preferred Qualifications: Hands on experience with advanced Machine Learning Techniques, including but not limited to reinforcement learning, deep learning, and large language models (LLM).
Desirables
Reinforcement learning
Deep learning
LLM
What the job involves
As a Senior Machine Learning Engineer, you will leverage AI/ML to enhance personalized customer experience at every step of the messaging journey - including content development, audience targeting, timing optimization, channel selection, and etc.
Projects range from personalized listing/destination recommendations in marketing campaigns to future-oriented strategies on generative AI.
Collaborate with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact.
Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.
Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable and high-performing Machine Learning systems.