Familysearch Lead Generative AI Engineer (Lehi, UT - Hybrid)

Are you ready to embark on an extraordinary journey of innovation and discovery? FamilySearch.org is seeking an exceptional AI Engineer to join our dynamic team and help shape the future of genealogical research and family history!

Role Overview:

We are looking for an experienced Lead AI Engineer to enable FamilySearch to use machine learning to connect patrons to their ancestors. You will be a leader and key member of a new team that is building solutions to connect living people to their deceased ancestors. Working in close collaboration with a team of talented engineers, data scientists, and domain experts, you will help create and refine the AI-driven features that enable millions of users worldwide to make remarkable discoveries about their ancestors and family history.

We are looking for a passionate and dedicated candidate who shares our vision of advancing the Lord's work. You will have the opportunity to use cutting-edge technologies, access high-performance computing resources, and collaborate with highly skilled peers. This is a rare and rewarding chance to grow your career and personal skills while making a positive impact.

Why Join FamilySearch.org?

• Impactful Mission: Be part of a meaningful mission to help individuals discover their family history and create lasting connections.

• Cutting-Edge Technology: Work with state-of-the-art AI and machine learning technologies to push the boundaries of genealogical research.

• Collaborative Environment: Join a team of passionate engineers, data scientists, and domain experts who value collaboration, innovation, and knowledge sharing.

• Continuous Growth: Engage in professional development opportunities, attend conferences, and stay at the forefront of AI advancements.

• Work-Life Balance: FamilySearch.org values work-life balance and promotes a flexible and supportive work environment.

This unique position will have the opportunity to bless the lives of literally millions of our Heavenly Father's children by helping them find their ancestors.  Even at the Church, there are few jobs with such a huge potential for positive impact!  If you're a highly motivated and creative thinker who is excited to make a tangible impact in the world of artificial intelligence and family history, we would love to hear from you! Join us at FamilySearch.org and be part of a transformative journey that connects generations and unlocks the power of AI to bring the past to life.

Qualifications:

• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics or a related field. Master's or PhD in Computer Science or a related field a plus.

• Eight years of industry-recognized, progressive and relevant professional experience

• Significant experience designing, training, testing, and deploying deep learning models at scale. Experience with Graph Machine Learning a plus.

• Strong knowledge of modern Machine Learning technology such as Transformers and Large Language Models.

• Experience with analyzing large amounts of data for machine learning and data science.

• Exceptional skills in Python. Intermediate Java programming skills is desirable.

• Solid understanding of applied mathematics, statistics, and probability.

• Use of essential Linux data manipulation tools like sed, grep, sort, regexes, etc.

Desirable:

• Experience with common ML packages and tools and using cloud services like AWS, and Google Cloud for ML pipelines.

• Familiarity with cloud compute environments such as AWS.

• Track record of self-teaching significant new concepts.

• Excellent communication skills including the ability to create, communicate, and direct work toward accomplishing an overall technical vision.

• Demonstrated ability to mentor and train peers

• Proven ability to work effectively with people of various educational levels and backgrounds. Comfortable conversing with scientists, executives, engineers, and end users alike.

• Ability to self-direct and work independently for extended periods as required.

• Keen interest in foreign languages, scripts, and historical documents. Beginner level of at least one foreign language desired.

#LI-KS1

Responsibilities:

• Design, develop, and deploy AI and machine learning algorithms that connect patrons to their ancestors.

• Mentor, teach and lead

• Collaborate with cross-functional teams to understand business requirements and translate them into actionable AI solutions.

• Build scalable and efficient data pipelines for processing and analyzing large-scale genealogical data.

• Perform data exploration, feature engineering, and model evaluation to identify optimal solutions for complex problems.

• Stay up to date with the latest advancements in AI and machine learning techniques and proactively explore their potential applications to enhance FamilySearch.org.

• Monitor feedback loops to ensure that models and algorithms are working as designed

• Understand all aspects of the data and find innovative ways it can be applied and used

Church employees find joy and satisfaction in using their unique talents and abilities to further the Lord's work. From the IT professional who develops an app that sends the gospel message worldwide, to the facilities manager who maintains our buildings- giving Church members places to worship, teach, learn, and receive sacred ordinances-our employees seek innovative ways to share the gospel of Jesus Christ with the world. They are literally working in His kingdom.

Only members of the Church who are worthy of a temple recommend qualify for employment. Apart from this, the Church is an equal opportunity employer and does not discriminate in its employment decisions on any basis that would violate U.S. or local law.

Qualified applicants will be considered for employment without regard to race, national origin, color, gender, pregnancy, marital status, age, disability, genetic information, veteran status, or other legally protected categories that apply to the Church. The Church will make reasonable accommodations for qualified individuals with known disabilities.