Machine Learning Engineer

• Develop and optimize machine learning models for parsing, extracting, and categorizing data in PDF tax documents.
• • Collaborate with crossfunctional 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.

      • Requirements

        • Masters’ or PhD in Computer Science, Mathematics, Statistics, Data Science, or a related field
        • • 6+ years of relevant industry experience as a data scientist, with a focus on NLPNLU projects
          • • Demonstrated experience leading endtoend data science project implementations
            • • Excellent problemsolving 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. scikitlearn, PyTorch, spaCy, Huggingface)

                • Qualifications:

                  • 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 NLPNLU projects
                    • • Demonstrated experience leading endtoend data science project implementations
                      • • Excellent problemsolving 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. scikitlearn, PyTorch, spaCy)

                          • Preferred experience:

                            • 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