About the role#
Ancestry is seeking an Applied AI Science Co-op to join our team. You will research and implement methods to improve representation learning, embedding quality, and personalized ranking systems. This role involves building models that help us understand customer behavior and genealogy expertise, which allows us to provide adaptive experiences for our users. You will work with scientists and engineers to move research ideas into production systems.
What you'll do#
- Use data, embedding models, and personalization techniques to create personalized family history experiences.
- Develop and evaluate models for customer segmentation, behavior understanding, and user skill progression.
- Collaborate with applied scientists and software engineers to design, build, and deploy scalable machine learning solutions.
- Participate in technical discussions and knowledge sharing regarding machine learning and generative AI practices.
What you'll need#
- Current enrollment in an advanced degree program (MS or PhD) in Computer Science or a related field.
- Demonstrated experience in applied research and implementing machine learning models.
- Proficiency in Python, SQL, and AWS.
- Proficiency in deep neural networks and modern ML frameworks such as PyTorch or TensorFlow/Keras.
- Exposure to large language models or generative AI applications.
Location & details#
- This is a remote, part-time, work-study position.
- This role is open to students in active master's or PhD programs.
- Employment is on a rolling basis.
About Ancestry
Ancestry operates in the family history and consumer genomics sectors. Founded in 1983, the company maintains a database of over 65 billion records from 88 countries. It employs approximately 1,858 people across global offices in the United States, Ireland, France, England, Australia, and Germany. The business focuses on software development, data science, and machine learning to help users research their genealogy.
How to get in at Ancestry
Applying early is your best strategy for securing an internship at Ancestry. Because high-volume roles fill up quickly, Intern Insider sends an instant alert the moment a position is published, ensuring you apply among the first before the pile grows. This timing helps your application get seen by the team while they are still actively reviewing candidates. You can also improve your chances by reaching out to the right people. Intern Insider surfaces the recruiters behind the company's roles, allowing you to contact them directly to ask about the position or a referral. This direct approach often leads to better response rates than submitting your resume into a standard queue.
