Full-Time

Senior Machine Learning Engineer I

Posted on 4/30/2024

Carta

Carta

1,001-5,000 employees

Equity management and financial automation platform

Data & Analytics
Consulting
Crypto & Web3
Financial Services

Senior

San Francisco, CA, USA + 1 more

Required Skills
Redshift
Python
R
SQL
Requirements
  • 5+ years of industry experience solving complex data problems with descriptive and predictive statistical models
  • Proficiency with modern programming languages (Python, R, SQL, etc.) and datastores (Redshift or similar)
  • A deep understanding of modern statistical and machine learning models, when to apply them, and how to evaluate their performance
  • Experience with large language models (LLMs) and their applications in document intelligence, information extraction, and text classification tasks
  • Strong written and verbal communication skills, with a particular emphasis on data visualization
  • A collaborative attitude and a helpful personality
  • Experience with containerizing ML models and integrating them into production workflows
  • Experience with building simple ETL pipelines (Airflow or similar) to schedule model training / predictions
Responsibilities
  • Perform exploratory analyses to understand the dynamics of private markets and ownership from source-of-record documents and systems
  • Develop LLM-powered pipelines to classify complex legal documents and extract key information from these docs to automate onboarding to our suite of products
  • Develop machine learning models to power new financial products and to extract trends from performance of existing products
  • Build and deploy containerized prediction services and integrate them with our data pipelines
  • Partner with product managers, engineers, designers, and business teams to incorporate ML-generated estimates and benchmarks into products and user-flows
  • Own, coordinate, and solve complex, cross-functional problems that extend beyond the traditional boundaries of machine learning

Carta offers equity management solutions through a platform that handles cap tables, valuations, fundraising, issuing shares, compensation, and fund administration services, supporting over 40,000 companies and nearly 7,000 funds globally. The company's technologies include software and services that streamline financial management, automate back-office tasks, and simplify equity sales.

Company Stage

Series G

Total Funding

$1.1B

Headquarters

San Francisco, California

Founded

2012

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

4%

Benefits

Free lunch and snacks

Equity

Employee liquidity every 12-18 months