Machine Learning Engineer
Filevine - Bratislava
Posted May 5, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Machine Learning Engineer Bratislava 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. 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
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