Are you driven to AI technology?

The Applied ML and Backend Engineer will help build large-scale systems that use large language models and other AI technologies to enable both customers and internal users. In this role you will work cross-functionally with engineers and researchers to integrate ML solutions into Casetext’s legal tech applications.  

About the role:
As the Software Engineer Machine Learning will: 

• Design and develop robust and scalable back end services and applications that use machine learning solutions (particularly in natural language processing and large language models)  

• Collaborate cross-functionally with team members at many levels, especially those in Engineering and Innovation  

• Work independently to maintain ownership over a backend system as well as to identify and address areas for improvement in existing systems and processes  

About you:  

• 2-5 years of experience in backend or full-stack software engineering  

• Very proficient in Python with recent experience  

• Experience designing data-intensive systems, familiar with relational databases and APIs  

• Demonstrable ability to write high quality, well documented code and provide code reviews to other engineers  

• Very comfortable with test-driven development or otherwise writing comprehensive automated tests for any code  

• Significant experience in communicating with other technical teams, including management, to collect requirements, identify tasks, provide estimates and meet production deadlines  

• Ideally has worked previously with writing or deploying machine learning models for use in a production setting  

• Experience working with a cloud service provider like AWS, Azure, or GCP  

• Bachelor’s degree in Computer Science, Math, or a related field.

What's in it For You?

You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

• Hybrid Work Model: We've adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected
• Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings and employee incentive programs; resources for mental, physical, and financial wellbeing.
• Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
• Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.
• Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.
• Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

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