Full Stack Engineering Intern

Remote: 
Full Remote
Contract: 
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Offer summary

Qualifications:

Pursuing a degree in Computer Science, Data Science, Statistics, Engineering, or a related field., Experience or coursework in Typescript, Golang, or other modern software languages., Familiarity with Python and modern software stack tools like Mongo, AWS, Docker is a plus., Strong analytical, problem-solving, and communication skills..

Key responsibilities:

  • Assist in building on top of LLMs for code generation and deployment.
  • Collaborate with a multidisciplinary team to define software requirements and design new features.
  • Perform R&D work by rapid prototyping solutions for AI on cloud environments.
  • Create and maintain documentation for features and monitor data quality and performance.

Gametime logo
Gametime Scaleup https://gametime.co/
51 - 200 Employees
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Job description

About Us:
Live experiences help people cross today’s digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that’s bringing us together. To fulfill Gametime’s mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.
 
With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.

The Role

We’re looking for a motivated and curious Software Engineer Intern to join our Engineering  team this summer. This internship is an opportunity to work on the cutting edge of AI technology explorations — contribute across the stack and push the limits of full-stack software creation with workflow automation,  AI, and Agentic Solutions. You’ll work alongside senior members of Engineering, ML, and Data Science. By the end of the summer, the work you’ve done will be live in production—used by our fans and helping drive real outcomes for the business.

 

Above & Beyond: The Impact You'll Make:

  • Assist in building on top of LLMs to handle code generation, deployment, tool usage for a system at scale.
  • Collaborate with a multidisciplinary team to define software requirements, architecture, and design for new features
  • Perform R&D work by rapid prototyping solutions to unlock the power of AI on mature systems running on cloud environments.
  • Create and maintain documentation for features, automation solutions, best practices and patterns.
  • Instrument and observe production solutions. Help monitor data quality and performance of features.

 

Always Be Curious: Skills You've Learned Along The Way:

  • Pursuing a degree in Computer Science, Data Science, Statistics, Engineering, or a related field.
  • Experience or coursework in Typescript, Golang, or other modern software languages.
  • Familiarity with Python.
  • Exposure to modern software stack tools (e.g. Mongo, AWS, Docker) is a plus.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.

At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget.

United States - Pay Range
$25$30 USD

Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.

Required profile

Experience

Industry :
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication
  • Collaboration
  • Problem Solving
  • Analytical Skills

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