Senior Machine Learning Engineer, Growth ML

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Requirements:

• 5+ years of professional experience as a Machine Learning Engineer with a focus on data-intensive systems.
• Strong theoretical knowledge of machine learning and statistical concepts.
• Proven experience with large-scale data processing technologies such as Kubeflow, Airflow, BigQuery, GraphQL, Kafka, and Redis.
• Proficiency in SQL to derive insights from large datasets.
• Excellent communication and teamwork skills.

Responsibilities:

• Work closely with engineers to enhance the experience of new and low-signal users by applying advanced ML techniques.
• Train, evaluate, and deploy sophisticated machine learning models to improve user experiences.
• Participate in the full software development cycle including design, development, QA, deployment, experimentation, analysis, and iteration.
• Collaborate with other ML teams and disciplines to find technical solutions to complex challenges.
• Handle large-scale data, models, pipelines, and product integration.