Machine Learning Engineer

K1X, Inc.; United States; On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Unlimited Vacation Policy

Paid Parental Leave

Healthcare Benefits

401K

Growing Startup Culture

Job summary

K1X, Inc. is seeking a skilled Machine Learning Engineer to enhance their AI-powered data distribution platform for alternative investments. The role involves developing machine learning models for processing financial documents and requires expertise in NLP. This fully remote position offers a dynamic startup culture and comprehensive benefits.

Qualifications

• 6+ years of relevant industry experience as a data scientist, focusing 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.

Responsibilities

• Develop and optimize machine learning models for parsing and extracting data from PDF tax documents.
• Collaborate with cross-functional teams to integrate machine learning solutions into software products.
• Mentor and guide junior data scientists and team members.

Skills

Natural Language Processing

Problem-Solving

Statistical Analysis

Python

Education

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

Tools

scikit-learn

PyTorch

spaCy

Huggingface

Job description

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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. Our mission is to digitize the K-1 ecosystem. We utilize AI-powered K-1 extraction technologies that surpass all competitors, 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

1. Develop and optimize machine learning models for parsing, extracting, and categorizing data in PDF tax documents.
2. Collaborate with cross-functional teams to integrate machine learning solutions into our software products.
3. Apply statistical analysis to identify signals, trends, and insights that can inform product development.
4. 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, and Holidays
• Paid Parental Leave
• Fully Remote Opportunity
• Healthcare Benefits and 401K
• Growing Startup Culture

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• IT Services and IT Consulting