About The Role
Our client is an applied behavioral research company working at the intersection of ML, social sciences, and recommendation systems / Prediction-as-a-service. They enable businesses to build privacy-preserving recommendation and behavioral technologies competitive to big tech without the use of interpretable raw customer data.
They are looking to develop the next generation of privacy-preserving machine learning products that understand and predict behavior at scale. Their products and research teams need to handle information at a massive scale across a number of unstructured dimensions. They're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, privacy, artificial intelligence, and NLP.
What You Will Do:
- Partner with data science teams to deploy and scale advanced algorithms.
- Write elegant code and pick up new technologies independently.
- Collaborate with colleagues/partners internally and externally.
- Build intuitive data models and become an expert in distributed data processing patterns.
- Work in a rapidly changing environment with ambiguous requirements.
- Engineer efficient, adaptable, and scalable data pipelines to process structured and unstructured data.
- Maintain and rethink existing datasets and pipelines to service a wider variety of use cases.
- Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models.
- Adapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU).
Qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5+ years of experience with software development in one or more programming languages, and with data structures/algorithms.
- 5+ years with two or more languages/software including but not limited to: Python, Apache, Presto, R, ML/optimization, Scala.
- 5+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining, or artificial intelligence.
- 5+ years of experience with ML/AI algorithms and tools, deep learning, and/or natural language processing.
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