Applied AI Science Co-op – Embedding Models, Personalization

🔥 13 hours ago

🇺🇸 United States – Remote

⏱ Part Time

⚪️ Entry-level

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Ancestry

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1983

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Ancestry is a consumer-focused family history company that helps people discover, preserve, and share their family stories through online genealogy tools, historical records, and consumer DNA testing. The company operates a subscription-based platform and eCommerce offerings (such as DNA kits), maintains a large consumer DNA database, and combines technology, data science, and content to power personal discovery and research. Ancestry emphasizes customer experience, diversity and inclusion, and employs global teams across product, engineering, marketing, and science-related roles.

📋 Description

• Use data, embedding models, and personalization techniques to create meaningful, personalized family history experiences • Develop and evaluate models for customer segmentation, behavior understanding, and genealogy user skill progression • Inform adaptive product experiences through customer and user modeling • Collaborate with applied scientists and software engineers to design, build, and deploy scalable machine learning solutions • Support discovery, recommendation, customer insights, content discovery, personalization, and information retrieval experiences • Participate in technical discussions and knowledge sharing • Translate research ideas into scalable, real-world production systems

🎯 Requirements

• Active master's or PhD program student in 2026 • 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 • 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 • Background check required as a condition of employment

🏖️ Benefits

• Location-flexible work approach: nearest office, from home, or hybrid of both, subject to location restrictions and role requirements • Inclusive and diverse work environment • Reasonable accommodations for qualified individuals with disabilities