Senior Machine Learning Engineer

GoFundMe; San Francisco (CA); Hybrid; USD 156,000 - 234,000; Full time

Job summary

Join a mission-driven organization that empowers people to help each other. As a Senior ML Engineer, you'll lead the development of cutting-edge machine learning applications, transforming generative AI research into impactful solutions. Collaborate with a talented team in a hybrid work environment, where your contributions will make a difference in millions of lives. Enjoy competitive pay, comprehensive benefits, and growth opportunities in a supportive and innovative atmosphere. Be part of a culture that values collaboration, continuous learning, and community engagement.

Benefits

Competitive pay

Comprehensive healthcare benefits

Financial assistance for hybrid work

Generous parental leave

Flexible time-off policies

Mental health and wellness resources

Learning and development programs

Community engagement initiatives

Qualifications

• 4+ years of hands-on experience in machine learning and data science.
• Extensive experience with LLMs, including fine-tuning and prompt engineering.
• Ability to design and deploy end-to-end machine learning systems.

Responsibilities

• Lead development of LLM-based applications and ensure production readiness.
• Collaborate with cross-functional teams to implement ML projects.
• Design and deploy ML training and inference pipelines.

Skills

Machine Learning

Data Science

Prompt Engineering

Large Language Models (LLMs)

Python

AWS

Docker

Kubernetes

FastAPI

Terraform

Education

Master's or Ph.D. in Computer Science

Bachelor's in a related technical field

Tools

Databricks

Snowflake

GitHub

Job description

1 week ago Be among the first 25 applicants

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 $156,000 - $234,000 + equity + benefits. Salary is based on experience and qualifications.

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 [e-mail].

Global Data Privacy Notice For Job Candidates And Applicants

Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you agree to our use and processing of your data as required.

Learn More About GoFundMe

For recent company news and announcements, visit our Newsroom.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

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