Machine Learning Engineer, Summer Intern - EDM Domain (Hybrid/Remote/Office-based) 


Business Intelligence Technology | Lehi, Utah, United States

Machine Learning Engineer, Summer Intern - EDM Domain (Hybrid/Remote/Office-based)

  • Lehi, Utah, United States
  • Business Intelligence Technology
  • Internship

About Ancestry:

When you join Ancestry, you join a human-centered company where every person’s story is important. We believe that by discovering the struggles and triumphs of our past, we can foster deeper bonds and more meaningful connections among families and communities. Our talented team of scientists, engineers, genealogists, historians, and storytellers is dedicated to empowering customers around the world from all backgrounds on their journeys of personal discovery. 


With more than 30+ billion digitized global historical records, 125+ million family trees, and 22+ million people in our growing AncestryDNA database, Ancestry helps customers discover their family story and gain a new level of understanding about their lives. Passionate about dedicating your work to enriching people’s lives? You belong at Ancestry.


Ancestry is looking for an exceptional, passionate, and highly motivated Machine Learning Engineer, Intern to join our ML Platform team this summer. The ML Platform team helps pioneer our new machine learning platform to dramatically accelerate all aspects of data science at Ancestry. As a ML Engineer, Intern on the ML Platform team, you will help unlock the potential of machine learning and data science at Ancestry and work closely with the Data Platform, Data Science, and Data Science Engineering teams in supporting advanced ML patterns in our up-and-coming ML platform including a new ML gateway routing architecture.

What you will do:

  • Be a part of the ML Platform team, have the opportunity to build an ML platform in an early stage to utilize ML with Ancestry’s scale of data.
  • Develop, deploy, and support advanced ML data preparation and ML serving infrastructure such as customer-facing recommendation services.
  • Deploy IAC (Infrastructure as Code) in AWS to lay down the infrastructure that ML pipelines will utilize.

Who you are:

  • Proficient in Python/Java
  • Familiarity with ML frameworks such as PyTorch or TensorFlow
  • Experience with RESTful web service development
  • Familiarity with Linux/Unix/Mac environments
  • Nice to have: experience in data engineering preparation including using Spark and Airflow
  • Nice to have: AWS Cloud Computing

Internship Program Details:

  • Students must be enrolled in an accredited U.S. educational institution with a graduation date after August 2023.
  • Summer 2023 program dates are May 15 – September 8 (Please note that we will have three intern onboarding dates to choose from: May 15th, June 5th and June 20th. Students may offboard every Friday, beginning August 11th. All internships must be wrapped up by September 8th.)
  • FULLY PAID temporary housing and travel to and from internship
  • All summer internships will be in Lehi, Utah. You will work a combined hybrid and office-based schedule that allows you to choose which days you come into the office and which days you work from temporary housing/home (Utah students).
  • Interns have the opportunity to network and partner with other interns and industry-leading professionals.
  • You will participate in engaging events including executive speaker sessions, professional development, and our annual Intern Days to showcase your project and work. 
  • Full-time schedule (40 hours/week) required; Monday-Friday.
  • Company-issued laptop and equipment provided for the duration of the internship program.
  • Our interns enjoy mentorship and experience challenging work while receiving a great compensation package, temporary housing, and having a fun captivating experience—we have it all. Oh, and did we mention the possibility of full-time employment once you graduate?



Additional Information:

Ancestry is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Ancestry will provide reasonable accommodations for qualified individuals with disabilities.


All job offers are contingent on a background check screen that complies with applicable law.  For San Francisco office candidates, pursuant to the San Francisco Fair Chance Ordinance, Ancestry will consider for employment qualified applicants with arrest and conviction records.  


Ancestry is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Ancestry via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Ancestry. No fee will be paid in the event the candidate is hired by Ancestry as a result of the referral or through other means.


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