GoFundMe · 10 hours ago
Senior Search Engineer
San Francisco, CA
Full-time
Hybrid
Mid, Senior Level
$181K/yr - $271K/yr
4+ years expGoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. They are seeking a Senior Search Engineer to design and implement advanced search and retrieval systems, incorporating AI technologies to enhance user experiences and operational excellence.
CrowdfundingInternetPeer to Peer
Responsibilities
Lead the design, development, and maintenance of cutting-edge search and retrieval, recommendation, and personalization solutions to deliver new customer-facing experiences
Incorporate AI-based technologies where appropriate, including prompt engineering, model fine tuning, and agent-based application enhancements, collaborating closely with product managers and stakeholders
Develop and deploy robust, fault tolerant, high-throughput services, emphasizing reliability, scalability, observability, and low-latency performance
Lead initiatives to optimize the performance and quality of ML and AI-based systems using new or established metrics
Support operational excellence by participating in initiatives to streamline AI and ML workflows and establish standardized procedures to ensure consistent and high-quality outcomes across our projects and systems
Collaborate closely with AI/ML engineers and cross-functional teams, including data scientists, software engineers, product managers, and business stakeholders, to foster a culture of collaboration, scientific inquiry, and continuous learning
Employ a diverse set of tools and platforms, including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, and GitHub, to develop, deploy, and maintain scalable and robust machine learning systems
Qualification
Required
4+ years of hands-on experience in AI, machine learning, data science, or related fields, with a strong emphasis on practical engineering applications and deploying robust solutions into production environments
Extensive experience with search and retrieval systems and recommender systems, preferably including retrieval-augmented generation (RAG) and developing agent-based applications that use search and retrieval systems as tools
Experience designing, developing, and deploying end-to-end AI and machine learning systems, including data pipelines, model training and serving, and monitoring solutions
Demonstrated ability to guide projects and foster a collaborative and high-performing work environment that values continuous improvement and knowledge sharing
Ability to break down complex projects, effectively scope and sequence work, and manage timelines to ensure the timely and successful delivery of machine learning initiatives
Excellent verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders
Lead the design, development, and maintenance of cutting-edge search and retrieval, recommendation, and personalization solutions to deliver new customer-facing experiences
Incorporate AI-based technologies where appropriate, including prompt engineering, model fine tuning, and agent-based application enhancements, collaborating closely with product managers and stakeholders
Develop and deploy robust, fault tolerant, high-throughput services, emphasizing reliability, scalability, observability, and low-latency performance
Lead initiatives to optimize the performance and quality of ML and AI-based systems using new or established metrics
Support operational excellence by participating in initiatives to streamline AI and ML workflows and establish standardized procedures to ensure consistent and high-quality outcomes across our projects and systems
Collaborate closely with AI/ML engineers and cross-functional teams, including data scientists, software engineers, product managers, and business stakeholders, to foster a culture of collaboration, scientific inquiry, and continuous learning
Employ a diverse set of tools and platforms, including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, and GitHub, to develop, deploy, and maintain scalable and robust machine learning systems
Preferred
Advanced degree (Master's or Ph.D.) in Computer Science, Statistics, Data Science, or a related technical field
A sense of humor is optional but appreciated
Benefits
Competitive pay and comprehensive healthcare benefits
Financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being
Participate in learning, development, and recognition programs to help you thrive and grow
Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups
Make a difference through our volunteering program
Company
GoFundMe
GoFundMe is the world’s largest fundraising platform, helping people, causes, and charities raise money fast and efficiently.
201-500 employees
H1B Sponsorship
GoFundMe has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (19)
2024 (10)
2023 (10)
2022 (9)
2021 (9)
2020 (2)
Funding
Current Stage
Growth StageTotal Funding
unknown2015-07-02Series A
2014-04-01Series Unknown
Leadership Team
Timothy Cadogan
Chief Executive Officer
Steve Froehlich
Chief Customer Growth Officer
Recent News
2026-01-06
Markets | Mail Online
2025-12-29
2025-12-15
Company data provided by crunchbase