Site Reliability Engineer (ML), Summer Intern

Key Skills

Aartificial intelligence, Algorithms, Data Analytics, Data Architecture, Data science techniques, Data structuring, Design, Java Programming, Jupyter Notebook, Machine learning techniques, Python Programming, PyTorch, SPARK Programming, TensorFlow

Job Description

What you will do:

Ancestry seeks an exceptional, passionate, highly motivated Site Reliability Intern to join our SRE team this summer. The SRE team manages Ancestry’s cutting-edge cloud infrastructure and services, which manages the infrastructure. Our team is also responsible for developing and maintaining software solutions that manages these cloud infrastructure and other supporting systems. As a Site Reliability Engineer intern on the SRE team, you will help us build new and exciting software-driven solutions to improve site reliability and performance driven by AI/ML.

• Work with the team to design and develop scalable software solutions to solve site reliability challenges
• Contribute to the evolving architecture and design of the system based on ML, AI, and advanced data analytics capabilities
• You will collaborate with the Architect and Engineers through the entire software development lifecycle to solve some challenges using various Machine learning algorithms
• Work together with product and development teams to define software specifications
• You will partner with the Ancestry data science team to build some of the software systems described above
• Researching, investigating, and fixing a wide range of technical issues
• Proactively learning about new technologies

Who You Are: 

• Computer science degree (or related discipline) 
• Good understanding of object-oriented design patterns, microservice architecture patterns, and a fundamental understanding of cloud deployments and methodologies
• Fundamentals of data structure, algorithms, and programming, including test cases
• Experience in at least one or more languages, including but not limited to Python, Java, and Go
• Worked with databases
• Familiarity and experience with current open-source tools and technologies upon which to build advanced data analysis tools
• Understand basic concepts of AI/ML/Data science
• Worked on tools like Pytorch/Tensorflow/Spark/Jupyter, etc.
• Experience in building and deploying applications on the cloud

Internship Program Details:

• Students must be enrolled in an accredited U.S. educational institution with a graduation date after August 2024.
• Summer 2024 program dates are May 13 – September 6 (Please note we will have three intern onboarding dates to choose from: May 13th, May 28th, and June 10th. Students may offboard every Friday, beginning August 9th. All internships must be wrapped up by September 6th).
• FULLY PAID temporary housing and travel to and from the internship are provided.
• 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.
• You will be required to work a full-time schedule (40 hours/week), Monday-Friday.
• Company-issued laptop and equipment will be 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 fun, captivating experiences—we have it all!

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.