Machine Learning Engineer II

Want to help us help others? We’re hiring!

GoFundMe is a global community of over 150 million people who come together every day with the common purpose of helping one another. Our mission is to help people help each other through our best-in-class technology. In 2022, GoFundMe joined forces with Classy, a leading nonprofit fundraising software company that enables nonprofits to connect supporters with the causes they care about. Together, we have empowered people and organizations to raise more than $30 billion since 2010. Our vision is to become the most helpful place in the world.

Join us! The GoFundMe team is searching for our next Senior ML Engineer to help design and implement our next generation of machine learning and generative AI-based services. 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 position will be located or willing to relocate to San Francisco, CA. This is a hybrid role with expectations to go into the SF office 3x per week.

The Job…

• Lead the development, design, and maintenance of cutting-edge LLM-based applications, ensuring the translation of generative AI research into production-ready technologies.
• Lead prompt engineering initiatives for LLM-based applications, working closely with product managers and non-technical stakeholders to optimize model performance and meet quality benchmarks.
• Design and deploy orchestration and evaluation frameworks to ensure high-quality, low-latency generative AI solutions, optimizing performance and reliability for large language models.
• Design and develop scalable, efficient machine learning training and inference pipelines, ensuring seamless integration with existing production systems and adherence to best engineering practices.
• Support operational excellence by participating in initiatives to streamline machine learning workflows and establish standardized procedures to ensure consistent and high-quality outcomes across our ML projects and systems.
• Collaborate closely with ML engineers and cross-functional teams, including data scientists, software engineers, product managers, and business stakeholders, to foster a culture of collaboration, scientific inquiry, continuous learning, and drive the successful implementation of machine learning projects.
• 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.

You…

• 4+ years of hands-on experience in 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 large language models (LLMs), including fine-tuning, prompt engineering, Retrieval-Augmented Generation (RAG), and deploying LLMs in user-facing products.
• Experience designing, developing, and deploying end-to-end 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.
• 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.

Why you’ll love it here...

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, and commuting, 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 and Gives Back programs.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We are committed to providing diversity, equity, and inclusion training to all employees, and we do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

The total annual salary for this full-time position is $128,500 - $192,500 + equity + benefits.  As this is a remote position, the salary range was determined by role, level, and possible location across the US. Individual pay is determined by work location and additional factors including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range based on your location during the hiring process. 

If you require a reasonable accommodation to complete a job application, a job interview, or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com.

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