CPT Applied AI Engineer Jobs
Applied AI Engineer jobs let F-1 students on CPT work on production-grade machine learning systems, LLM pipelines, and AI product development while earning academic credit. Your DSO must authorize CPT before your start date, and the role must connect directly to your degree program's learning objectives.
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Get Access To All JobsAbout Ancestry:
When you join Ancestry, you join a human-centered company where every person’s story is important. Ancestry®, the global leader in family history, connects everyone with their past so they can discover, preserve, and share their unique family stories. With our unparalleled collection of more than 65 billion records, over 3.5 million subscribers, and over 27 million people in our growing DNA network, customers can discover their family story and gain a new level of understanding about their lives. Over the past 40 years, we’ve built trusted relationships with millions of people who have chosen us as the platform for discovering, preserving, and sharing the most important information about themselves and their families.
We are committed to our location flexible work approach, allowing you to choose to work in the nearest office, from your home, or a hybrid of both (subject to location restrictions and roles that are required to be in the office). We will continue to hire and promote beyond the boundaries of our office locations, to enable broadened possibilities for employee diversity.
Together, we work every day to foster a work environment that's inclusive as well as diverse, and where our people can be themselves. Every idea and perspective is valued so that our products and services reflect the global and diverse clients we serve.
Ancestry encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants. Passionate about dedicating your work to enriching people’s lives? Join the curious.
ROLE AND RESPONSIBILITIES:
Ancestry seeks an exceptional, passionate, and highly motivated Applied AI Science Co-Op to join our team. Our team builds and advances the AI solutions behind Ancestry's content discovery, personalization, and information retrieval experiences.
As an Applied AI Science Co-Op, you will research and implement methods to improve representation learning, embedding quality, and personalized ranking systems, while also developing customer segmentation and behavior models that surface meaningful differences in research patterns. You will contribute to user skill modeling by estimating and leveling a customer’s genealogy expertise, enabling adaptive guidance and experiences that evolve as users grow.
You will collaborate closely with applied scientists, engineers, and product partners to translate research ideas into scalable, real-world production systems. These efforts are foundational to delivering meaningful, personalized family connections and extending Ancestry’s leadership in AI-powered discovery and customer understanding. This is a part-time, work-study-based opportunity for students in active master's or PhD programs in 2026.
What You Will Do:
- Use data, embedding models, and personalization techniques to create meaningful, personalized family history experiences for customers
- Develop and evaluate models for customer segmentation, behavior understanding, and user skill progression in genealogy to inform adaptive product experiences
- Collaborate with applied scientists and software engineers to design, build, and deploy scalable machine learning solutions for discovery, recommendation, and customer insights
- Participate in technical discussions and knowledge sharing, contributing to a culture of strong machine learning, generative AI, and applied personalization practices
BASIC QUALIFICATIONS:
- Pursuing an advanced degree (MS or PhD; PhD preferred) in Computer Science, or a related field
- Demonstrated experience in applied research, including implementing and adapting published machine learning models or methodologies to solve real-world problems; prior publications in top-tier venues such as NeurIPS, ICML, ICLR, CVPR, ACL, KDD, or similar conferences are a plus
- Proficient in Python, SQL, and AWS and hands-on experience with applied machine learning techniques and hugging face; familiarity with embedding models, RAG, and representation learning is a plus
- Proficient in deep neural networks and modern ML frameworks such as PyTorch or TensorFlow/Keras
- Exposure to large language models or generative AI applications, including prompt engineering, retrieval-augmented generation, or agent-based workflows
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 candidates who live in San Francisco, CA, 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.
About Ancestry:
When you join Ancestry, you join a human-centered company where every person’s story is important. Ancestry®, the global leader in family history, connects everyone with their past so they can discover, preserve, and share their unique family stories. With our unparalleled collection of more than 65 billion records, over 3.5 million subscribers, and over 27 million people in our growing DNA network, customers can discover their family story and gain a new level of understanding about their lives. Over the past 40 years, we’ve built trusted relationships with millions of people who have chosen us as the platform for discovering, preserving, and sharing the most important information about themselves and their families.
We are committed to our location flexible work approach, allowing you to choose to work in the nearest office, from your home, or a hybrid of both (subject to location restrictions and roles that are required to be in the office). We will continue to hire and promote beyond the boundaries of our office locations, to enable broadened possibilities for employee diversity.
Together, we work every day to foster a work environment that's inclusive as well as diverse, and where our people can be themselves. Every idea and perspective is valued so that our products and services reflect the global and diverse clients we serve.
Ancestry encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants. Passionate about dedicating your work to enriching people’s lives? Join the curious.
ROLE AND RESPONSIBILITIES:
Ancestry seeks an exceptional, passionate, and highly motivated Applied AI Science Co-Op to join our team. Our team builds and advances the AI solutions behind Ancestry's content discovery, personalization, and information retrieval experiences.
As an Applied AI Science Co-Op, you will research and implement methods to improve representation learning, embedding quality, and personalized ranking systems, while also developing customer segmentation and behavior models that surface meaningful differences in research patterns. You will contribute to user skill modeling by estimating and leveling a customer’s genealogy expertise, enabling adaptive guidance and experiences that evolve as users grow.
You will collaborate closely with applied scientists, engineers, and product partners to translate research ideas into scalable, real-world production systems. These efforts are foundational to delivering meaningful, personalized family connections and extending Ancestry’s leadership in AI-powered discovery and customer understanding. This is a part-time, work-study-based opportunity for students in active master's or PhD programs in 2026.
What You Will Do:
- Use data, embedding models, and personalization techniques to create meaningful, personalized family history experiences for customers
- Develop and evaluate models for customer segmentation, behavior understanding, and user skill progression in genealogy to inform adaptive product experiences
- Collaborate with applied scientists and software engineers to design, build, and deploy scalable machine learning solutions for discovery, recommendation, and customer insights
- Participate in technical discussions and knowledge sharing, contributing to a culture of strong machine learning, generative AI, and applied personalization practices
BASIC QUALIFICATIONS:
- Pursuing an advanced degree (MS or PhD; PhD preferred) in Computer Science, or a related field
- Demonstrated experience in applied research, including implementing and adapting published machine learning models or methodologies to solve real-world problems; prior publications in top-tier venues such as NeurIPS, ICML, ICLR, CVPR, ACL, KDD, or similar conferences are a plus
- Proficient in Python, SQL, and AWS and hands-on experience with applied machine learning techniques and hugging face; familiarity with embedding models, RAG, and representation learning is a plus
- Proficient in deep neural networks and modern ML frameworks such as PyTorch or TensorFlow/Keras
- Exposure to large language models or generative AI applications, including prompt engineering, retrieval-augmented generation, or agent-based workflows
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 candidates who live in San Francisco, CA, 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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Get Access To All JobsApplied AI Engineer CPT: Frequently Asked Questions
Does an Applied AI Engineer job qualify for CPT authorization?
It qualifies if the role is an integral part of your degree program and directly relates to your field of study. Applied AI Engineer positions typically involve machine learning systems, model deployment, and AI product development, which align well with computer science, data science, and engineering curricula. Your DSO makes the final determination, so bring the full job description to your authorization meeting.
Can I do full-time CPT as an Applied AI Engineer without losing OPT?
Full-time CPT, meaning 20 or more hours per week, used for 12 months or more eliminates your OPT eligibility entirely. Part-time CPT, under 20 hours per week, has no impact on OPT regardless of duration. If the Applied AI Engineer role is full-time, track your cumulative CPT hours carefully with your DSO to protect your post-graduation options.
How do I find Applied AI Engineer employers who are familiar with CPT?
Use Migrate Mate to search for Applied AI Engineer roles filtered by employers with verified work authorization history. Employers who have filed Labor Condition Applications for AI and machine learning roles through DOL are more likely to have HR teams experienced with CPT documentation, I-20 processing, and international student onboarding.
What documents does an employer need to verify my CPT work authorization?
Your employer needs your valid I-20 with the CPT authorization section completed by your DSO, your F-1 visa stamp, and your passport. Unlike OPT, CPT does not require an EAD card. Some E-Verify enrolled employers will also run an I-9 verification using these documents. Make sure your I-20 reflects the correct employer name, start date, and authorized hours before your first day.
Is there a cap on the number of Applied AI Engineer CPT positions I can hold?
There's no federal cap on CPT positions, but each authorization is specific to one employer and one period. If you switch employers or extend your role, your DSO must issue a new or updated I-20 with revised CPT dates. Holding concurrent CPT positions at multiple employers is technically possible but requires separate authorization for each and additional DSO review.