Role overview
Fully Remote Position
What you'll work on
About the role:
We are seeking a highly skilled and experienced Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in natural language processing (NLP) and extensive experience working with unstructured and semi-structured data such as financial statements and tax documents. As a Machine Learning Engineer, you will play a critical role in developing and implementing machine learning models that enhance our software's ability to accurately and efficiently process partnership accounting and tax documents.
- Develop and optimize machine learning models for parsing, extracting, and categorizing data in PDF tax documents.
- Collaborate with cross-functional teams to integrate machine learning solutions into our software products.
- Apply statistical analysis to identify signals, trends, and insights that can inform product development.
- Mentor and guide junior data scientists and team members, fostering a collaborative and innovative work environment.
What we're looking for
- Masters' or PhD in Computer Science, Mathematics, Statistics, Data Science, or a related field, or equivalent experience
- 6+ years of relevant industry experience as a data scientist, with a focus on NLP/NLU projects
- Demonstrated experience leading end-to-end data science project implementations
- Excellent problem-solving skills with the ability to synthesize and communicate complex technical results to senior leaders and nontechnical audiences
- Proficiency in Python and a strong understanding of machine learning frameworks and libraries (e.g. scikit-learn, PyTorch, spaCy)
- Previous experience with applications of NLP to financial documents
- Familiarity with alternative investment accounting needs
- Experience deploying machine learning models using containerization and orchestration technologies
Benefits
- Unlimited Vacation Policy + Sick Time + Holidays
- Paid Parental Leave
- Fully Remote Opportunity
- Healthcare Benefits and 401K
- Growing Startup Culture
Tags & focus areas
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