Sorry, this listing is no longer accepting applications. Don’t worry, we have more awesome opportunities and internships for you.

Data Science Engineer - Machine Learning, Intern

Ancestry

Data Science Engineer - Machine Learning, Intern

San Francisco, CA
Internship
Paid
  • Responsibilities

    Job Description

    Ancestry is currently seeking highly motivated, internet-savvy interns who can work full-time for 12-16 weeks during Summer 2018. Our summer internships allow you the freedom to experience impactful business projects that allow you to develop your talents. You will enjoy mentorship, and experience challenging work all while receiving fantastic pay, fully-paid temporary housing, and having a lot of fun—we have it all. Oh, and did we mention the possibility of full-time employment once you graduate?

    From Engineering to Marketing, UX Design, DNA Science, Product and more, we’re looking for fresh minds and diverse ideas with an interest in connecting families and technology. Come join a diverse company of enthusiastic, talented, smart, and very passionate people who bring their A-game each day.

    Internship Project Description

    We are seeking a data science engineer intern to join the Ancestry Data Science team in 2018. Our group works on some of the most challenging and impactful genealogy big data problems.

    You would be contributing to an important part of Ancestry’s mission, to provide the best production experience and the best content by adapting Machine Learning and Artificial Intelligence driven solutions in Genealogy. To help families and love ones to be more connected than ever. You would not only use and learn more Machine Learning, Deep Learning and data driven solutions, but also to practice and to enhance your software development skills. You would be working with various teams to solve interesting data science and software engineering problems.  

    Tasks & Deliverables:

    • Investigate and understand data sets, and data quality issues
    • Investigate and contribute machine learning models
    • Design and build components that is going to be part of ML AI platform
    • Design and build components that would help enhance the model development process
    • Work closely with teams to solve interesting data science and software engineering problems
    • Code review and bug fixing
    • Software documentation