What are the responsibilities and job description for the Software Engineer Intern - Data Science / ADM (US) position at Addepar?
Being a part of the AddeU Internship Program, you will be working on meaningful project(s) that you can feel proud of and present back to the company at the end of the experience. In addition to having a supporting manager and mentor, we have a fantastic onboarding program to get you acclimated and ready for your time with us. Fun events and super cool swag are also included!
At the moment, our 12-week internship experience is remote. Dates are currently set for May - August 2024 but please consult with your recruiter. Seeking US and Canadian students only.
The Role
As a Data Science intern, you will help Addepar automate data extraction from unstructured documents using various machine learning tools and processes. Mentorship from senior machine learning and software engineers will guide your work while providing the opportunity to learn the newest techniques in natural language processes, such as large language models (LLMs), and best practices for the machine learning development cycle.
Addepar takes a market-based approach to pay. A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York.
The current range for this role is $34 - $53.
Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.
What You’ll Do
- Contribute to machine learning models and backend deployment code
- Research methods to solve data extraction problems in documents
- Collect and curate data sets to train machine learning models
- Test models using appropriate metrics
- Build production ready code
Who You Are
- Interest or experience with using basic machine learning or data science principles
- Good knowledge of python and software engineering practices
- Interest or experience with natural language processing, named entity recognition (NER) and/or LLMs
- Collaborative and curious learner
