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Similar Jobs at Vail Systems, Inc.
Information Technology • Machine Learning • Natural Language Processing • Software • App development • Conversational AI • Big Data Analytics
As a Software Engineer in Test & Infrastructure, you will develop automation, enhance test frameworks, conduct testing across environments, and collaborate with teams to embed quality throughout the development lifecycle.
Top Skills:
C#/.NetC++CucumberDockerJavaJavaScriptJenkinsJunitKubernetesNoSQLNunitPerlPythonRspecRubySQLTestng
Information Technology • Machine Learning • Natural Language Processing • Software • App development • Conversational AI • Big Data Analytics
As a Software Engineer, you will develop Interactive Voice Response applications, enhancing user experiences using various technologies while troubleshooting and supporting clients.
Top Skills:
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Information Technology • Machine Learning • Natural Language Processing • Software • App development • Conversational AI • Big Data Analytics
As an IT Systems Administrator Intern, you will assist in troubleshooting issues, manage end-user systems, and contribute to IT documentation, while learning various technologies.
Top Skills:
Active DirectoryJamf ProJIRALinuxmacOSOffice 365Windows
Who You Are
Vail Systems is looking for a summer intern who is currently enrolled in a PhD program in Computer Science, Data Science, Mathematics, Human Computer Interaction, Natural Language Processing, Computational Linguistics or a related field to work with us on some of the challenges in natural language processing (NLP).
The student must be conducting research in NLP and should be able to understand, codify and extract meaning from multiple communication modalities (speech, text), and build new or improve existing models using state-of-the-art machine learning techniques. In addition, preference will be given to candidates with demonstrated proficiency in sentence-generative language models. The student will work with a team of researchers to gain insight from trying new machine learning approaches and will work with practitioners to transition the research to a proof-of-concept.
Qualifications
- Currently enrolled in a PhD program in Computer Science, Data Science, Mathematics, Human Computer Interaction, Natural Language Processing, Computational Linguistics or a related field.
- 1+ year experience with machine learning and natural language processing.
- Strong verbal and writing communication skills.
- Ability to independently execute a research agenda and collaborate effectively with other researchers and engineers.
- Proficiency in Python or R.
- Experience with deep learning platforms, such as PyTorch, Tensor Flow, CNTK, specifically as they relate to the implementation of state-of-the-art deep learning models (including, but not limited to transformer-based models).
- Existing body of relevant research contributions, such as peer-reviewed publications at top-tier conferences and journals related to ML/NLP.
- Please review what we’re working on to gain a better understanding of our work https://www.freeclimb.com/research
Who We Are
At Vail, we believe in the unique power of voice interactions to create more expressive, more intimate, and more efficient interpersonal interactions. Using Vail technology, we make millions of voice interactions better every day. We process around 10% of all toll-free call traffic in the U.S.; 1 in 10 times when someone calls a customer support hotline, Vail is routing or interacting with that call.
We are rapidly growing across multiple dimensions, including our customer base, the scope of products we offer, and the size of our team. Now is the right time for a strong candidate to join and grow with us. We have a supportive culture where employees are encouraged to achieve both personal and team goals because we believe growth leads to both business impact and personal fulfillment.
We are striving to implement and sustain an inclusive and equitable work environment for all employees by sourcing underrepresented groups and continually empowering those individuals within our organization to further enrich Vail’s communication solutions. We recognize that equitable and unique individuals benefit our teams’ problem-solving, innovation, and development efforts.
Our offices are located in Deerfield and Chicago, IL. Interviews and onboarding are conducted in our offices when possible. We observe a hybrid work format that provides employees flexibility to collaborate with team members based on business needs.
Vail Systems, Inc. Chicago, Illinois, USA Office
Vail Systems, Inc. Chicago Loop Office Office
Our Chicago Loop office is located alongside the Chicago River at 2 N Riverside Plaza, with access to nearby CTA/Metra stations, street or garage parking, and free on-site indoor bicycle parking. Our Deerfield office is located right next to the Lake Cook Road Metra station at 570 Lake Cook Road.
Vail Systems, Inc. Deerfield, Illinois, USA Office
Vail Systems, Inc. Deerfield Office Office
570 Lake Cook Road, Deerfield, IL, United States, 60015
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
