Natural Language Processing Startups in Austin | Built In Austin

Natural Language Processing Startups Austin

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List of Natural Language Processing startups in Austin

1 Companies
TrendKite
Big Data • Marketing Tech
TrendKite is defining the way for digital PR. Our platform transforms the way the way we look at earned media through all stages of the storytelling process, so PR professionals can do their most meaningful, effective, and targeted work.

Disability Insurance
Dental Benefits
Vision Benefits
+19
190
Local Employees
Austin
Location
CognitiveScale
Artificial Intelligence • Machine Learning
CognitiveScale’s award-winning Augmented Intelligence software helps businesses apply Artificial Intelligence and Blockchain technology to solve complex business problems at scale for financial services, healthcare, and digital commerce markets.

Dental Benefits
Vision Benefits
Health Insurance Benefits
401(K)
+3
120
Local Employees
Austin
Location
OneSpot
Machine Learning • Marketing Tech
INDIVIDUALIZE YOUR CONTENT EXPERIENCE OneSpot helps brands bring customer journeys to life by delivering individualized content experiences across channels through technology and strategic support.
Austin
Location

Natural Language Processing Jobs in Austin

Software Engineer in Test

CognitiveScale
Austin
21 hours ago
You will act as a voice for quality assurance and will need to defend the integrity of the code, anticipate quality needs/changes and eventually build a high performing team. Expect to be working directly with clients, contributing to internal initiative and tech talks and fielding day-to-day communications with technical client and third-party teams. In this role, you will have the opportunity to put cognitive computing in action to truly change the world. If this sounds interesting then let’s talk about how you can contribute to our successful delivery of high quality solutions for CognitiveScale.

Senior Software Engineer - DevOps

CognitiveScale
Austin
21 hours ago
Work on the infrastructure underlying all Development systems. This includes tooling for the CI/CD pipeline. Work as a part of an Agile team to establish architectures for high availability and fault tolerance using load balancers, API gateways, etc. Develop tools that will provide insight into what our code is doing, when and where it's doing it, and how well it's running. Promote a DevOps culture by building relationships across disciplines and driving enhancements to facilitate rapid feedback and the seamless flow of code into production. Take ownership of your discipline alongside fellow practitioners and collaboratively learn and develop best practices.

Sr. Recruiter

TrendKite
Austin
21 hours ago
+20
TrendKite is looking for an Sr. Recruiter with a successful track record of hiring great talent within high-growth technology environments. We're looking for a Senior Recruiter with a successful track record of hiring great talent within a high-growth, technology environment. Senior recruiters are part of the People team and work directly with Hiring Managers to source and attract the best and brightest talent.

Software Engineer

CognitiveScale
Austin
1 day ago
Has strong footing with technologies / components / concepts for developing and deploying Cognitive (AI) Solutions. Has a passion for designing / developing elegant software solutions within time constraints in an agile environment. Has a passion for learning - continuously building new skills. Has a strategic point of view - a system thinker that keeps the customer success in mind throughout the project lifecycle. Has strong collaborative skills coupled with the ability to question.

Machine Learning Research Scientist

CognitiveScale
Austin
1 day ago
Stellar background in statistical machine learning and data mining, in areas including but not limited to: online learning, nonlinear optimization, high-dimensional data clustering, classification, regression, ranking, probabilistic graphical models, and deep learning. PhD degree in AI, ML, statistical NLP or related technical fields. 10+ years of hands-on experience working in data science and/or machine learning. Practical experience building, testing and deploying ML models at scale. Experience with one or more of the programming languages and machine learning tools (Python, R, Julia, C/C++, Scala). Strong publication history in top-tier journals and conferences (e.g., Machine Learning Journal, DMKD, KAIS, ICML, KDD, ACL, NIPS, ECML, NAACL, IJCAI, AAAI). Strong interpersonal and communication skills and must be able to explain technical concepts and analysis implications clearly to a wide audience, including senior executives, and be able to translate business objectives into action. Experience with deep learning tools and packages (Caffe, PyTorch, Tensorflow). A clear passion for learning emerging technologies independently and continuously.
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