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Senior Machine Learning Engineer

Remote · USA Full-time New today

About Us 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 United States by both Deloitte and Inc. Our Mission is building the seamless intersection between legal and business by creating a world-class platform to help professionals scale. We're a team of driven, enthusiastic problem solvers with strong backgrounds in machine learning, engineering, product management, legal and operations, on a mission to help attorneys resolve cases faster, for better outcomes. We're combining cutting edge models, approaches, and technologies with precise human in loop and data annotation processes. After achieving state-of-the-art results in automatic transcription, we're now pushing the boundaries in advanced NLP problems such as summarization of medical records and legal depositions, or automations of other legal workflows. We have many challenges to solve, which is exactly where you'll start if you join us. Why Join Us? We always say it's more important who you work with than what you work on. We're a team of driven, enthusiastic problem solvers with strong backgrounds in machine learning, engineering, product management, legal, and operations. We're combining state-of-the-art models, approaches, and technologies from areas like NLP, ASR, and speaker diarization, together with precise data annotation processes. After achieving great results in automatic transcription, we're now pushing the boundaries in advanced NLP tasks such as summarization of medical records and legal depositions, witness credibility analysis, and contradiction detection. We still have many challenges to solve, which is exactly where you'll start if you join us!

Key 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

Requirements

  • 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. We care about your engineering skill rather than specific language framework or tooling

We’d love to connect We are an equal opportunity company and highly value diversity in our team. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. If you’re interested in what we’re building, let’s connect. 

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