Job Description

Filevine is forging the future of legal work with cloud-based workflow tools. We have a reputation for intuitive, streamlined technology that helps professionals manage their organization and serve their clients better. We’re also known for our team of extraordinary and passionate professionals who love working together to help organizations thrive. Our success has catapulted Filevine to the forefront of our field—we are ranked as one of the most innovative and fastest-growing technology companies in the country by both Deloitte and Inc.

Our Mission

Filevine is building the seamless intersection between legal and business by creating a world- class platform to help professionals scale.

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

Cool Company Benefits:

• A dynamic, rapidly growing company, focused on helping organizations thrive 

• Medical, Dental, & Vision Insurance (for full-time employees)

• Competitive & Fair Pay

• Maternity & paternity leave (for full-time employees)

• Short & long-term disability

• Opportunity to learn from a dedicated leadership team

• Centrally located open office building in Sugar House (onsite employees)

• Top-of-the-line company swag

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