Senior Search Engineer
About The Position
GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010. Join us! The GoFundMe team is searching for our next Senior Search Engineer to help design and implement our next generation of search and retrieval systems, machine learning technologies, and generative AI-based applications. You will collaborate with an accomplished and motivated team of individuals to deliver high-impact solutions for our users and our business. Candidates considered for this role will be located in the San Francisco Bay Area. There will be an in-office requirement of 3x a week.
Requirements
- 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.
Nice To Haves
- Advanced degree (Master’s or Ph.D.) in Computer Science, Statistics, Data Science, or a related technical field is preferred.
- A sense of humor is optional but appreciated.
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.
Benefits
- Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
- Holistic Support: Enjoy 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.
- Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
- Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
- Community Engagement: Make a difference through our volunteering program.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
