Machine Learning Engineer

K1X, Inc.; United States; Remote; USD 100,000 - 720,000; Full time

Job summary

K1X, Inc. seeks a Machine Learning Engineer for a fully remote position. Join a leading data distribution platform focusing on AI-powered K-1 extraction technologies. Ideal candidates will possess extensive NLP experience as they develop innovative ML models for parsing and extracting data from financial documents.

Benefits

Unlimited Vacation Policy

Paid Parental Leave

Fully Remote Opportunity

Healthcare Benefits and 401K

Growing Startup Culture

Qualifications

• 6+ years industry experience focusing on NLP/NLU projects.
• Experience leading data science project implementations.
• Ability to communicate complex results to diverse audiences.

Responsibilities

• Develop and optimize ML models for PDF tax documents.
• Collaborate to integrate ML solutions into software products.
• Mentor junior data scientists and lead projects.

Skills

Natural Language Processing

Statistical Analysis

Problem-Solving

Data Synthesis

Education

Masters' or PhD in Computer Science, Mathematics, Statistics, or Data Science

Tools

Python

scikit-learn

PyTorch

spaCy

Job description

Fully Remote Position

Preferred Locations: Midwest based: Indianapolis, IN or IL, Chicagoland Area preferred

Who We Are:

K1x is the leading data distribution platform for alternative investments. Simply put, our mission is to digitize the K-1 ecosystem. Our AI-powered K-1 extraction technologies surpass all other competition and we're the first to produce a digital K-1. Learn more at www.k1x.io

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.

If you are an experienced Machine Learning Engineer or Data Scientist looking for an exciting opportunity to work on challenging problems and deliver machine learning products, we would love to hear from you. Join our team and help shape the future of alternative investments management and distribution!


Responsibilities

• 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.
  
  
  

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 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, 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 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)
  
  

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

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Other

• Industries

  IT Services and IT Consulting

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