Chicago Tech Jobs and Startup Jobs

9

Application Architect

Levy
Chicago
1 day ago
+30
Job Roles and Responsibilities   We are looking for an experienced Application Architect to make intuitive high level decisions for software development. A successful candidate will see the “big picture” and create architectural approaches for software design and implementation to guide the development team.  The architect must have a strong technical background and excellent IT skills. They are experienced in designing and possess ability to

Quality Assurance Testing Analyst

Levy
Chicago
1 day ago
+30
Founded in 1978, Levy has pioneered premium sports and entertainment dining and remains one of America’s fastest growing and most critically acclaimed restaurant companies. Named one of the 10 most innovative companies in sports by Fast Company magazine, Levy’s diverse portfolio includes award-winning restaurants, iconic sports and entertainment venues, and convention centers as well as the Grammy Awards, PGA Championship, US Open Tennis

Site Reliability Engineer

STATS
Chicago
2 weeks ago
+16
Site Reliability Engineering(SRE) is an engineering discipline that combines software and systemsengineering to build and run large-scale, massively distributed, fault-tolerantsystems. The main function of the SRE team is to be responsible for theavailability, performance, monitoring, and incident response for STATS'internally critical and our customer-facing systems. What You'll Do: Engage in and improve the whole life cycle of services-from

Software Engineer

STATS
Chicago
2 weeks ago
+16
What You'll Do: Contribute to all aspects of the services under the team's ownership, which includes design, implementation, refactoring, automated testing, deployment, and uptime of the services Build technology the right way; for us, this means simple, well-tested services and tools that gradually grow over time, and that provide plenty of insight into production usage and performance Create unit and acceptance tests, in collaboration with the

Computer Vision Platform Engineer

STATS
Chicago
2 weeks ago
+16
What You'll Do: Contribute to all aspects of the sports vision platform and services under the team's ownership, which includes design, implementation, refactoring, automated testing, deployment, and uptime of the services. Work closely with data scientist on deep learning and video processing-based AI models. Improve internal team processes by keeping what's working and throwing away what's not Collaborate on the vision of the services under the

Senior Artificial Intelligence Scientist/Engineer

STATS
Chicago
2 weeks ago
+16
Lead AI/ML Scientists and Engineers to productize machine learning models. Develop new ideas into AI/ML driven products using our wealth of sports data. Engage with domain experts as well as senior leaders and engineers to effectively deliver interpretable results. Deal with enormous amounts of unstructured data, developing solutions in a distributed setting.

Computer Vision Engineer

STATS
Chicago
2 weeks ago
+16
Develop and implement the most innovative computer vision solutions on sports video data, which include body-pose estimation. Deploy computer vision systems in the field by writing production code. Work with back-end and front-end developers as well as the product team. Keep current with latest trends and technologies, to continually improve computer vision systems.

Senior Software Engineer

STATS
Chicago
3 weeks ago
+16
What You'll Do: Contribute to all aspects of the services under the team's ownership, which includes design, implementation, refactoring, automated testing, deployment, and uptime of the services Improve internal team processes by keeping what's working, throwing away what's not Collaborate on the vision of the services under the team's ownership Build technology the right way; for us, this means simple, well-tested services and tools that

Artificial Intelligence (AI) & Machine Learnin…

STATS
Chicago
3 weeks ago
+16
Develop new ideas into AI/ML driven products using our wealth of sports data. Engage with domain experts as well as senior leaders and engineers to effectively deliver interpretable results. Deal with enormous amounts of unstructured data, and developing solutions in a distributed setting.

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