Senior ML Engineer

Global crowdfunding platform that enables people and nonprofits to raise funds for causes they care about.
$128,500 - $192,500
Machine Learning
Senior Software Engineer
Hybrid
501 - 1,000 Employees
4+ years of experience
AI · Finance

Description For Senior ML Engineer

GoFundMe, a leading global crowdfunding platform, has joined forces with Classy to create a powerful force in charitable giving, having facilitated over $30 billion in donations since 2010. We're seeking a Senior ML Engineer to spearhead our next generation of machine learning and generative AI services. This role offers an opportunity to work with cutting-edge LLM technologies while making a meaningful impact on millions of lives.

The position demands expertise in developing and deploying sophisticated machine learning systems, with a particular focus on LLMs, prompt engineering, and RAG implementations. You'll be working with modern tools and platforms including Python, AWS, Databricks, and Kubernetes to build robust, scalable solutions. The ideal candidate brings 4+ years of hands-on ML experience and preferably an advanced degree in a relevant field.

Based in our San Francisco office with a hybrid work arrangement, you'll join a collaborative, mission-driven team that values innovation and technical excellence. The role offers competitive compensation ($128,500 - $192,500), comprehensive benefits, and equity. Beyond the technical challenges, you'll be part of an organization that prioritizes diversity, equity, and inclusion, offering various programs for professional growth and community engagement.

This is an exceptional opportunity for a skilled ML engineer who wants to combine technical innovation with social impact, working on projects that directly help people help each other. The role provides the perfect blend of technical challenges, meaningful work, and professional growth in a supportive, purpose-driven environment.

Last updated a month ago

Responsibilities For Senior ML Engineer

  • Lead development, design, and maintenance of LLM-based applications
  • Lead prompt engineering initiatives for LLM-based applications
  • Design and deploy orchestration and evaluation frameworks
  • Design and develop scalable machine learning training and inference pipelines
  • Support operational excellence in machine learning workflows
  • Collaborate with cross-functional teams

Requirements For Senior ML Engineer

Python
Kubernetes
  • 4+ years of hands-on experience in machine learning or related fields
  • Extensive experience with large language models (LLMs)
  • Experience designing and deploying end-to-end machine learning systems
  • Ability to guide projects and foster collaborative work environment
  • Excellent verbal and written communication skills
  • Advanced degree (Master's or Ph.D.) in Computer Science or related field preferred

Benefits For Senior ML Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Assistance
Parental Leave
Commuter Benefits
Equity
Education Budget
  • Competitive pay
  • Comprehensive healthcare benefits
  • Hybrid work support
  • Family planning assistance
  • Commuting assistance
  • Generous parental leave
  • Flexible time-off policies
  • Mental health and wellness resources
  • Learning and development programs
  • Equity

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