Machine Learning Engineer, NLP at SparkCognition (Austin, TX)
SparkCognition Government Systems is looking for innovative Machine Learning Engineer to join our team to help create the next generation of analytics and artificial intelligence solutions in the Natural Language processing field. At SparkCognition, you will immerse yourself in cutting-edge research and work with the latest technologies to deliver value to the cutting-edge Natural Language product, DeepNLP.
If you were working for us today, you would be:
- Collect and prepare data sets
- Develop new algorithms and approaches to various NLP problems
- Conduct quantitative experiments to characterize algorithms
- Integrate new technology into core applications
You may be a fit for our team if you have:
- Master's Degree or higher with a focus on NLP
- Experience in Python and NLP/ML toolkits (e.g. scikit-learn, SpaCy)
- Familiarity in applying deep learning techniques to text
- Strong interpersonal skills
- Independent thinking and desire to learn new techniques/technologies
- Experience with developing algorithms in a distributed environment (e.g. Dask, Hadoop, Spark)
- Capable of working with text in different languages
- Experience with building chat bots
- Experience with information retrieval and IR tools (e.g. SOLR)
- Must be eligible to hold a US government security clearance
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)