Manager, Machine Learning Engineering

Want to help us help others Were hiring!

GoFundMe is the worlds 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 GoFundMe as our next Manager Machine Learning Engineering (ML and AI Operations). In this role you will lead the team responsible for the infrastructure pipelines and operational rigor that keep GoFundMes machine learning and AI systems reliable scalable and safe in production. This role requires strong technical judgment across the ML lifecycle (data training online inference monitoring) a strong understanding of how to enable AI applications to operate safely at scale and a proven ability to build and lead a high performance team that operates production ML/AI systems with the same rigor as core infrastructure.

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.

The Job

• Own the reliability scalability and operational health of ML/AI production systems across GoFundMe including training pipelines feature stores model serving and monitoring/observability infrastructure.
• Lead hire and grow a team of ML/AI operations engineers setting technical direction through design reviews architecture decisions and shared best practices for production ML and AI systems.
• Partner with data science and ML engineering teams to streamline the path from model development to production deployment including CI/CD for ML model packaging versioning and rollback strategies.
• Establish ML operational excellence org-wide by driving standards for model observability (latency errors drift calibration business KPI deltas) automated retraining triggers and incident response playbooks.
• Build and mature on-call processes SLOs/SLAs and postmortem practices for ML/AI systems treating model incidents with the same discipline as production infrastructure incidents.
• Drive operational strategy for GoFundMes generative AI systems alongside traditional ML balancing innovation velocity with safety compliance cost and reliability.
• Collaborate cross-functionally with Product Engineering Design and Legal/Privacy stakeholders to translate business goals into team priorities and measurable operational outcomes.
• Manage vendor and platform relationships (e.g. cloud ML platforms LLM providers) and make build-vs-buy calls that balance cost control and speed.
• Report on team health system reliability metrics and operational risk to senior engineering leadership.
• Employ a diverse set of tools and platforms including Python AWS Databricks Docker Kubernetes Terraform Snowflake and GitHub to guide your team in developing deploying and maintaining scalable and robust machine learning systems.

You

• 7 years of hands-on experience building and shipping production machine learning systems with demonstrated ownership of backend services and ML pipelines in a high-availability environment.
• 1-3 years of experience directly managing engineers ideally in an MLOps ML platform or infrastructure context with a track record of hiring and developing strong teams.
• Strong proficiency in Python and ML libraries/frameworks such as PyTorch TensorFlow Scikit-learn plus strong software engineering fundamentals (testing code review CI/CD API design performance and reliability) enough depth to stay hands-on and credible with your team.
• Experience designing and operating real-time model serving at scale including containerization scalable inference feature retrieval and safe rollout strategies (canaries shadowing backward-compatible schema evolution).
• Strong data engineering fluency: building reliable datasets and features using SQL Spark/Databricks and warehouse technologies (e.g. Snowflake) with an understanding of event semantics identity resolution and data quality controls.
• Proven experience implementing ML monitoring for both technical and business metrics (drift calibration segment performance latency error budgets) and running models reliably in production.
• Familiarity with generative AI/LLM infrastructure and operational considerations (latency cost safety guardrails) is a strong plus.
• Ability to break down ambiguous high-impact problems define crisp interfaces and success metrics and deliver iteratively while managing stakeholder expectations across engineering leadership product and data science.
• Strong leadership and mentoring skills and a proven ability to raise the bar on architecture engineering quality and operational rigor for production ML/AI systems.
• Advanced degree (Masters or Ph.D.) in Computer Science Statistics Data Science or a related technical field is preferred.
• Sense of humor is optional but appreciated.

Why youll 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 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.

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 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 annual U.S. salary range for this full-time position is $219000 - $329000. The company also offers equity and other benefits to employees including healthcare dental vision life insurance and 401(k) saving addition to this wage there are geolocation differentials that will increase pay depending on the work location. Additionally pay may vary depending on other factors including skills experience education or training. Your recruiter can share more about the specific total compensation package based on your location during the hiring process.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process please fill out this accommodation form.

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Learn more about GoFundMe:

Were proud to partner with an independent public charity to extend the reach and impact of our generous community while helping drive critical social change. You can learn more about activities and impact in their FY 26 annual report.

Our annual Year in Help report reflects our communitys impact in advancing our mission of helping people help each other.

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