January 28, 2020

Machine Learning Engineering

Big Data Engineer

Job Location: Bellevue, WA (Near Seattle)

Cognitiv builds custom programmatic ad buying algorithms using the latest advances in Deep Learning.  Our platform enables us to offer custom algorithms to all our clients, advertisers to build custom algorithms for all of their brands and ROI-types, and agencies to offer more sophisticated targeting solutions to its programmatic clients.

Overview:

The Machine Learning Engineering team at Cognitiv is a highly visible team within the company and plays a critical role in the success of our product.  We build the tooling, pipelines, and features used by our Data Scientists to build models and our real-time bidding team to buy and serve ads.

We’re looking for exceptional, independent, but collaboration-minded Big Data Engineers to add immediate value to a rapidly growing team. We build world class data products in novel spaces and require engineers who want to do the same. Come join us at our new Bellevue, WA office located near Seattle!  We offer compelling employment opportunities with competitive salaries, stock options and a robust benefits package.  

Responsibilities:

  • Build and maintain near real-time data pipelines.
  • Productionize new data features for use by the Data Science team.
  • Build big data tooling for use by other teams.
  • Uphold principles of engineering excellence.
  • Maintain an understanding of the current state of the art.

Basic Qualifications:

  • 4+ years experience
  • Proven track record of delivering quality products both individually and as part of a team.
  • Extensive experience within the big data ecosystem - Spark, Hadoop, Hive, etc. 
  • Expert proficiency in relevant programming languages (e.g. Python, Scala, Java).
  • Cloud experience (AWS, Azure, GCE).
  • SQL experience.
  • Experience with CI/CD.

Preferred Qualifications:

  • AWS experience.
  • Machine Learning experience.
  • Python Data Science ecosystem - Jupyter, NumPy, Pandas, Scikit Learn, etc.
  • Spark Structured Streaming, MLLib experience.

Comp and Benefits:

  • Competitive comp based on experience level
  • Equity
  • Great benefits aligned with the tech industry

Submit Applications to: recruiting@cognitiv.ai

Machine Learning Engineer

Job location: Bellevue, WA (Near Seattle)

Cognitiv builds custom programmatic ad buying algorithms using the latest advances in Deep Learning.  Our platform enables us to offer custom algorithms to all our clients, advertisers to build custom algorithms for all of their brands and ROI-types, and agencies to offer more sophisticated targeting solutions to its programmatic clients.  The Machine Learning Engineering team at Cognitiv is a highly visible team within the company and plays a critical role in the success of our product. We build the tooling, pipelines, and features used by our Data Scientists to build models and our real-time bidding team to buy and serve ads.  

Overview:
We’re looking for exceptional, independent, but collaboration-minded Machine Learning Engineers to add immediate value to a rapidly growing team. We build world class data products in novel spaces and require engineers who want to do the same. Come join us at our new Bellevue, WA office located near Seattle!  We offer compelling employment opportunities with competitive salaries, stock options and a robust benefits package.

Responsibilities:

  • Build novel machine learning solutions to immediately address business problems
  • Work closely with business teams to improve data products
  • Work closely with Data Science teams to improve internal tooling and processes
  • Build and maintain ML oriented systems and processes
  • Uphold principles of engineering excellence
  • Maintain an understanding of the current state of the art

Basic Qualifications:

  • 4+ years experience
  • Proven track record of delivering quality products both individually and as part of a team.
  • Extensive experience within the Python Data Science ecosystem - NumPy, SciPy, scikit-learn, Jupyter, etc. 
  • Experience with one or more Deep Learning framework (e.g. MXNet, TensorFlow, pytorch, etc).
  • Expert proficiency in relevant programming languages (e.g. Python, Scala, Java).
  • Cloud experience (AWS, Azure, GCE).
  • SQL experience.
  • Experience with CI/CD.

Preferred Qualifications:

  • Professional experience with MXNet.
  • AWS experience.
  • Big data / distributed computing experience.
  • NoSQL experience.

Comp and Benefits:

  • Competitive comp based on experience level
  • Equity
  • Great benefits aligned with the tech industry

Submit Applications to: recruiting@cognitiv.ai

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