Junior Machine Learning Engineer (Contractor) 🧑💻
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 state-of-the-art models, approaches, and technologies from areas like LLMs, NLP, ASR, and speaker diarization, together with precise 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 exciting challenges to solve, and as a member of our team, you'll have the opportunity to learn and grow alongside experienced professionals.
Key responsibilities
Assist in developing ML solutions and improving NLP models for tasks such as legal documents and medical records summarization, credibility analysis, and contradiction detection
Support the continuous improvement of our automatic transcription pipeline and automation of internal processes using AI
Help maintain high accuracy, stable processes, and optimized infrastructure/monitoring around the models
Collaborate with our full-stack engineering team to implement ML models in production
Learn to effectively communicate technical machine learning results in a business context
Contribute to the implementation of best practices across the machine learning team in research, implementation, tooling, and system design
Participate in the conceptualization and implementation of new ML ideas in the NLP domain, from validation to production
Requirements
Good communication and writing skills in English
Understanding of machine learning concepts and techniques, particularly in NLP
Familiarity with Python and basic ML/data science libraries (e.g. pandas, scikit-learn)
Experience with LLMs prompting
Eagerness to learn and apply new technologies and methodologies
Team spirit and problem-solving mindset
Interest in legal or medical domain NLP applications is a plus
Understanding of software engineering principles
At least 1 year of experience in machine learning, data science or related roles
Estimated Time Commitment:160 hours/month
We’d love to connect
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.