Machine Learning Engineer, Dating Outcomes
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The role
Contribute to the research and development of models powering dating outcomes.
Explore innovations in ML such as LLMs, multimodal embeddings, and generative models.
Build scalable systems with availability, operational excellence, and cost management in mind.
Move models to production in offline and real-time inference endpoints, and monitor them effectively.
Collaborate closely with ML engineers, product managers, data engineers, and data scientists to improve user experiences.
Bring strong software development and DevOps practices to production ML, including cloud delivery and data pipelines.
Explore innovations in ML such as LLMs, multimodal embeddings, and generative models.
Build scalable systems with availability, operational excellence, and cost management in mind.
Move models to production in offline and real-time inference endpoints, and monitor them effectively.
Collaborate closely with ML engineers, product managers, data engineers, and data scientists to improve user experiences.
Bring strong software development and DevOps practices to production ML, including cloud delivery and data pipelines.
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