Senior/Staff Data Engineer

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Requirements:

• Ability to take an ambiguously defined task, and break it down into actionable steps.
• Ability to follow through complex projects to completion, both by independent implementation and by coordinating others.
• Deep understanding of algorithm and software design, concurrency, and data structures.
• Experience in implementing probabilistic or machine learning algorithms.
• Experience in designing scalable distributed systems.
• High GPA from a well-respected Computer Science program or equivalent experience.

Responsibilities:

• Design modular and scalable real-time data pipelines to handle huge datasets.
• Suggest, implement, and coordinate architectural improvements for big data ML pipelines.
• Understand and implement custom ML algorithms in a low latency environment.
• Work on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrently.