Software Engineering Intern - AI Review Integrations

Posting Type

Hybrid/Remote

Job Overview

Review comprises about 85% of the work within Relativity. Attorneys analyze individual documents and make decisions about the relevance to the case. Recent projects have included displaying results from AI models to the attorneys.

Job Description and Requirements

Your Role in Action: 

• Utilize new technologies and popular programming languages to design, build, and test our platform and applications. 

• Work on scalable and dynamic web systems that support integration with multiple search engines, clustering technologies, and client component interaction through web services. 

• Learn to build highly distributable systems composed of multiple databases, processing, and web servers. 

• Participate in the SCRUM process. 

• Troubleshoot and resolve issues. 

Your Skills: 

• Current or recent student pursuing a bachelor's or master's degree in Computer Science, Math, or a related field. 

• Passion for web development. 

• Desire to work with the Agile development methodology. 

• Strong team player. 

What You'll Gain: 

• Hands-on experience writing code in a large codebase. 

• Opportunity to learn new programming languages such as C# and JavaScript. 

• Experience working in an Agile environment. 

• Enhanced technical skills with a strong emphasis on testing. 

Join us at Relativity and be part of a dynamic team that is at the forefront of legal tech innovation. Apply now to make a real impact in the legal industry! 

 

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$48,000 and $63,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. 

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