Ancestry.com Operations Inc. seeks Senior Data Scientist in Draper, UT 

Job Duties: Design end-to-end ML pipelines for document understanding from various kinds of historical document collections. Build robust internal evaluation benchmarks and frameworks to evaluate and integrate emerging technologies like Large Language Models (LLMs) in information extraction use cases. Develop and execute ML strategy for long-term company initiatives by partnering with domain experts and product managers to understand business requirements. Establish and periodically review best practices for ML model development, testing, and deployment. Lead efforts in ensuring safe, ethical, and responsible use of AI systems across the organization to ensure best possible customer experience. Teleworking may be permitted.

Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, Engineering, Data Science, Statistics or a closely related field plus one year of experience in the job offered or a related occupation.

Special Skill Requirements: 

1. End-to-End ML Pipeline Design: Implementation of machine learning pipelines specifically for document understanding and information extraction. (1 year)
2. Natural Language Processing (NLP): Experience utilizing NLP techniques for analyzing historical or unstructured document collections. (1 year)
3. Deep Learning Frameworks: Experience evaluating, fine-tuning, and integrating advanced Deep Learning or neural network models into production-level workflows. (1 year)
4. Evaluation Frameworks: Development of internal benchmarks and frameworks for measuring ML model performance. (1 year)
5. Strategic AI Planning: Experience partnering with product managers to translate complex business requirements into technical AI roadmaps. (1 year)
6. MLOps Best Practices: Experience establishing standards for model development, testing, and deployment. (1 year)
7. AI Ethics & Governance: Experience applying safe and responsible deployment of AI systems. (1 year)
8. Technical Proficiency: Experience with core ML programming languages and tools (e.g., Python, PyTorch, TensorFlow, or Spark). (1 year)

EOE, including disability/vets.

Must be legally authorized to work in the U.S. without sponsorship.