Senior NLP and Machine Learning Researcher
Connatix
Cluj-Napoca
‎în urmă cu 10 ore

Company Description

Connatix, the most advanced video platform for publishers, powers the video advertising businesses of the largest media companies in the world including CBS, Time Inc and Tribune Media.

We are headquartered in New York City, with offices in Tel Aviv, Israel and Cluj, Romania.

About the team

  • You will be working in a new innovative team that develops advanced AI technology for content enhancement, one of a kind product in the market
  • You will be responsible to solve hard problems in text analysis and natural language understanding by applying NLP, data mining and machine learning algorithms
  • Job Description

    What you’ll be doing?

  • You will be involved in all steps, including data collection, data processing, ML algorithms and ML model deployments
  • Apply NLP techniques to analyze texts, extracting data and relationships and develop context-aware NLP approaches.
  • Apply machine learning and data mining techniques for a variety of modeling and relevance problems involving users data and activities
  • Work with large unstructured and structured data sets
  • Perform exploratory data analyses
  • Design and develop machine learning algorithms
  • Generate and test working hypotheses
  • You will work closely with live production systems and product teams, and learn to deliver machine learning solutions at scale
  • Build smarter, more efficient ways of automating machine learning processes, including labeling, training, testing and visualization
  • Prepare and analyze historical data and identify patterns
  • Conduct production A / B testing, interpret and understand algorithm performance
  • Qualifications

  • 5+ years of experience applying, implementing, and / or developing machine learning or statistical algorithms
  • A background in Natural Language Processing or Information Retrieval
  • 5+ years of proven experience with one or more general purpose programming languages including but not limited to : Python, Java, Scala, R, C# and an interest in learning new languages and technologies
  • Experience with large-scale systems and data, e.g. Spark, distributed systems
  • Strong ability to analyze functional needs that drive the analysis and technical design of quality technical solutions
  • Experience working with high-performance scalable systems
  • Excellent technical writing skills
  • Fluent in English
  • Excellent interpersonal communication skills
  • A Bachelor's degree or equivalent in Computer Science, Engineering or another technical discipline
  • Excited about building powerful yet efficient big-data infrastructure for machine learning
  • Strong advantage

  • A PhD in Computer Science, Applied Mathematics, Artificial Intelligence, Statistics or related subjects
  • Very good understanding and hands-on experience with Amazon Web Services (Kinesis, Athena, Firehorse, S3, EC2, EMR)
  • Life is short. Work someplace great!

    Connatix offers a dynamic, flexible work environment with competitive salary. The challenges we solve are serious, but we’re not.

    We have fun every day because we love what we do. We are on a mission to shape the future of native video and this is your chance to be part of it.

    Want to join the team that’s already thinking about what interactive media is going to look like five years from now?

    We would like our new colleague :

    To be open minded and a team player.

    To have the ability to organize and prioritize their work.

    To have a proactive attitude and to deeply care about the quality of their work

    We are a young, fun team, and we like to have responsible colleagues who are able to complete their tasks in a flexible way and work as they desire.

    We are looking for colleagues that will contribute to our great chemistry and make our team even stronger,

    This is a great opportunity for the right candidate. If you are a team player who likes friendly, non-corporate environments and is looking to make a true impact, let's meet and talk about it.

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