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Filevine is a top-rated cloud-based case management solution for small and midsize legal firms and legal professionals.
The Role
As a Machine Learning Engineer, you'll design and implement NLP models, enhance transcription pipelines, and collaborate with engineers to integrate models into production, ensuring system stability and accuracy.
Summary Generated by Built In
Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.
Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.
Role Summary:
At Filevine, you will design and deploy cutting-edge NLP models for tasks like medical summarization, credibility analysis, and contradiction detection, while continuously improving our transcription pipelines and internal AI automation processes. You'll collaborate with engineers to integrate models into production, ensure system stability and accuracy, and drive innovation in NLP, particularly within legal and medical domains, leveraging tools like Python, PyTorch, and AWS.
Responsibilities
- Develop and improve NLP models for tasks such as medical summarization, credibility analysis, and contradiction detection
- Continuous improvement of our automatic transcription pipeline and automation of internal processes using AI
- Ensure high accuracy, stable processes, and optimized infrastructure/monitoring around the models
- Effectively communicate technical machine learning results in a business context
- Collaborate with our full-stack engineering team to ensure seamless implementation of ML models in production
- Promote excellence and best practices across the machine learning team in research, implementation, tooling, and system design
- Conceptualize and implement new ML ideas in the NLP domain, from validation to production
Qualifications
- Good communication and writing skills in English
- At least 3 years of experience in machine learning roles involving end-to-end ownership of projects
- Strong background in NLP; experience with ASR is a plus
- Advanced experience with PyTorch or other modeling toolkits
- Good understanding of software engineering principles
- Working experience with deep learning techniques, particularly in NLP applications
- Team spirit and independent problem-solving mindset
- Experience with or interest in legal or medical domain NLP applications is a plus
- Ability to meet periodically in our Prague office as we value in-person collaboration
- We are using mostly Python, React, Typescript, Kubernetes and AWS
This opportunity is for independent contractors and is not intended to establish an employment relationship. Contractors are responsible for their own taxes and compliance with applicable laws in their jurisdiction.
This role is open exclusively to candidates currently residing in, or willing to relocate to, Czechia or Slovakia with the legal right to work in these countries. Unfortunately, we are unable to consider applications from candidates based outside of these locations due to operational and regulatory requirements
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Skills Required
- At least 3 years of experience in machine learning roles involving end-to-end ownership of projects
- Strong background in NLP
- Advanced experience with PyTorch or other modeling toolkits
- Good understanding of software engineering principles
- Working experience with deep learning techniques, particularly in NLP applications
Filevine Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Filevine and has not been reviewed or approved by Filevine.
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Healthcare Strength — Health coverage is described as covering the major bases (medical, dental, vision) and is often framed as decent quality. In some cases, premiums and copays are portrayed as relatively favorable, suggesting tangible value from the plans.
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Parental & Family Support — Paid parental leave is positioned as a standard, clearly offered benefit. The presence of parental leave alongside disability coverage signals baseline family-support provisions typical of growth-stage tech employers.
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Fair & Transparent Compensation — Compensation is sometimes framed as fair or reasonable relative to role expectations, with technical roles in particular appearing closer to market-aligned ranges. This creates pockets where pay is perceived as competitive even if not consistently top-of-market across the company.
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The Company
What We Do
Filevine is case management software built for and inspired by real attorneys. As a fully-featured suite of tools, it comes ready to manage every part of a moving case. Assign tasks, upload files or images, monitor staff productivity, and communicate with your client directly from within their case file. Our software is built on the truth that every law firm functions differently. That’s why Filevine is so customizable. Build new case-type templates, design automatic workflows, and receive customized reports on a schedule that fits your needs. Accessing your information is never a problem, because Filevine is hosted on The Cloud. To ensure security, your law firm’s data is protected through state-of-the-art encryption on redundant servers. All you need to get started is an internet connection and your favorite web browser. Learn more at filevine.com.
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