Software Engineer Intern - Data Science / ADM (US)

Addepar
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Job Description

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

Our Values

  • Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
  • Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
  • Champion Our Clients - Exceed client expectations. Our clients’ success is our success.
  • Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.
  • Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.

In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.

To ensure the health and safety of all Addepeeps and our prospective candidates, we have instituted a virtual interview and onboarding experience.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to TAinfo@addepar.com.

Company Info.

Addepar

Addepar, Inc. operates as a U.S.-based wealth management platform catering to registered investment advisors. The company specializes in services such as data aggregation, analytics, and portfolio reporting.

  • Industry
    FinTech
  • No. of Employees
    800
  • Location
    Mountain View, CA, USA
  • Website
  • Jobs Posted

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Addepar is currently hiring Software Engineer Internship Jobs in Mountain View, CA, USA with average base salary of $34 - $53 / Hour.

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