Senior Software Developer
Primary stack
Nice to have's
Job description
About the Position
We are hiring Senior Software Developers with experience in Text Analytics and Natural Language Processing (NLP) to work on projects in the detection of coordinated disinformation, fusing text from a variety of different sources, and detecting implicit bias in online sources. These are true R&D labs in the sense that they will be expected to produce commercial products.
Responsibilities
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Disinformation Detection:
- Must have an NLP or Computational Linguistics (CL) background; Information Retrieval (IR) background also helpful.
- Experience with scalable text-oriented data storage helpful.
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Image Processing:
- Prior background in machine vision, machine learning, or image processing.
- Prior experience with scoring images and videos for specific qualitative features helpful.
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Data Collection:
- Must have experience in data collection from a large variety of data sources using both scraping and APIs.
- Must have experience with tools and processes to validate the accuracy of the collection.
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Heterogeneous Sensor Fusion:
- Prior work with sensor fusion, multi-evidence systems, or any other type of system in which very different types of data are being combined to generate better analytic results.
- Prior experience with mathematical representations of complex, unstructured data such as hypergraphs.
- Prior work with large-scale data sets, particularly represented in graphs.
- Prior work analyzing data from sensor types such as infrared, thermal, acoustic, and optical.
- Knowledge of statistics helpful.
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Complex Visualization:
- Prior experience designing & implementing complex visualizations, preferably in military or other mission-critical contexts.
- Strong knowledge of Human-Computer Interaction (HCI) principles.
- Prior experience with usability testing and iterative design.
Requirements
- At least 5 years of industry or equivalent experience.
- Must have an NLP or CL background; IR background also helpful.
- Must have experience in data collection from a large variety of data sources using both scraping and APIs.
- Must have experience with tools and processes to validate the accuracy of the collection.
- Ability to function as a professional software engineer. Strong computer science background.
- Evidence of original work, whether work on well-known product, GitHub, papers, patents, etc.
- Ability to make yourself understood in English.
Nice to Have
- Experience with scalable text-oriented data storage.
- Experience with different types of AI techniques (e.g. different types of ML, symbolic systems, etc).
- Java.
- AWS.
We Offer
- Opportunity to work in true R&D labs focused on producing commercial products.
- Collaborative and innovative work environment.
- Competitive compensation package.
About the Company
[Company description if present]
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Chenope is developing software to detect anomalies in large scale heterogeneous data. Examples include video-text sensor fusion, detecting disinformation campaigns, and identifying political trends. Earlier versions of our technology have been used successfully in the legal, compliance, HR, and investigation markets, having generated meaningful revenue in each.Chenope is a small but multinational startup headquartered in the USA. We are 100% employee-owned, and financially stable. We are a true R&D house that differentiates ourselves on the basis of having superior IP that addresses high value real world problems. Chenope’s founders have previously had a successful startup, and have a long track record of producing real innovation including numerous well-cited patents.