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CW Principal Researcher – Data Platform/Scientist
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CW Principal Researc....
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CW Principal Researcher – Data Platform/Scientist

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1 Vacancy
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Job Location

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others - USA

Monthly Salary

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Not Disclosed

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Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Req ID : 1756670
Description:
  • Collaborates with internal and external partners using modern software and systems best practices
  • Research emerging new technologies that could enhance performance and lower costs
  • Defines research goals and objectives for date infrastructure. For example, identify bottlenecks in E2E performance and research solutions to remove or improve performance
  • Define own research tasks to advance the state-of-the-art data and ML infrastructure
  • Research and develop innovative ideas and solutions for data infrastructure that deliver
  • Better performance and Scalability
  • Lower Cost and reduce latency
  • High availability and Redundancy
  • Observability and Reliability
  • Encryption, Security, etc
Requirements:
  • PhD in Computer Sciences, Mathematics Information Systems or closely related field
  • 5 years of hands on prototyping and Proof of Concept (PoC) building experience
  • Expertise in data nad ML infrastructure technologies including Tensorflow, Prytorch, Kafka, Spark, S3, Kubernetes, Databricks, Hadoop, Redshift, BigQuery, R and more
  • Track record of researching data infrastructure including patents and publications
  • Experienced contributor of driving standards (e.g. IEEE, NIST, etc)
  • Strong AI ML - understanding of different AI models, algorithms.
  • Ability to perform research.
  • Ability to code - Python, C, SQL, or proficient
  • Ability to discuss and present ideas concisely.
  • Strong knowledge of data - end to end from data ingestion (IoT) to data analytics.
  • Works highly independently, research critical challenges facing data and ML infrastructure w.r.t to performance, scalability, costs, etc. These include:
  • End-to-end data infrastructure from data ingest to data analytics
  • Federated learning to effectively distribute ML models
  • GPU or other sparse chips performance w.r.t to CNN, ANN and other types of ML models
  • Infrastructure sustainability
  • Ability to go from concept to product
  • Collaborates internally and externally, which includes building new collaborative partnerships
  • Work with sensors data in vehicle preferred

KEY FEEDER ROLES FOR THIS POSITION ARE AS FOLLOWS:

  • Sr. Infrastructure or Data Engineer with research background
  • Sr. Data Infrastructure Engineer
  • Software Engineer with research and data background
  • AI/ML scientist with research and infrastructure background

Employment Type

Full Time

Company Industry

About Company

100 employees
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