Remote Senior Staff Machine Learning Engineer

June 4, 2024

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Job Description

GoFundMe is a global community of over 100 million people united by a common goal of helping one another. Our mission is to make it safe and easy for people to ask for help and support causes—whether for themselves, others, or their communities. In 2022, we partnered with Classy, a top nonprofit fundraising software company, to amplify our impact. Together, we’ve enabled individuals and organizations to raise over $30 billion since 2010. Our vision is to be the most helpful place in the world.

Join Our Team!

We’re seeking a Senior Staff Machine Learning Engineer to design and implement our next generation of ML and AI services. You will collaborate with a talented team to deliver impactful solutions for our users and business.

Your Responsibilities

  • Design and develop advanced ML models, evaluation systems, and automated training and deployment solutions.
  • Create high-throughput batch inferencing and low-latency real-time inferencing services.
  • Build robust systems for data collection and preparation for model training.
  • Research and develop features to enhance model performance.
  • Identify and recommend data-driven opportunities to grow the business and delight customers.
  • Collaborate with data scientists, engineers, product managers, and business stakeholders.
  • Mentor ML engineers and contribute to a culture of learning, innovation, and excellence.

Your Qualifications

  • 9+ years of hands-on experience in ML, data science, and analytics, with a proven track record of leading complex projects and deploying solutions into production.
  • Extensive knowledge of ML algorithms, statistical modeling, and Python development tools and libraries (e.g., Pandas, Numpy, Scikit-learn, Pytest, PySpark, SQL, Airflow, MLflow, Hugging Face, Tensorflow or PyTorch).
  • Experience with large language models (LLMs), including commercial solutions (OpenAI API, Anthropic, AWS Bedrock) and open-source models (Hugging Face, LangChain, Llama-2, Falcon, Dolly).
  • Proven ability to mentor ML engineers and foster a collaborative environment.
  • Strong analytical and problem-solving skills with a creative approach to real-world challenges.
  • Comfortable with experimenting and incorporating cutting-edge techniques.
  • Excellent communication skills, able to convey technical concepts to both technical and non-technical stakeholders.
  • A Master’s or Ph.D. in Computer Science, Statistics, Data Science, or a related field is preferred.
  • A sense of humor is optional but appreciated.

Why You’ll Love Working Here

  • Competitive pay
  • Comprehensive healthcare benefits with employer-paid premiums
  • 401(k) retirement plan with company matching
  • Flexible hybrid workplace
  • Financial support for new hire setup, hybrid work, family planning, and commuting expenses
  • Various mental and wellness programs
  • Generous parental leave and family planning stipend
  • Supportive time-off policies including vacation, sick/mental health days, volunteer days, company holidays, and a floating holiday
  • Learning and development programs
  • Gives Back Program for weekly fundraiser nominations
  • Strong commitment to diversity, equity, inclusion, and belonging (DEIB)
  • Employee resource groups
  • Your work will have a global impact
  • A fun, supportive team that celebrates accomplishments together
  • Core values: impatient to be great, find a way, earn trust every day, fueled by purpose
  • Certified Great Place to Work, with rapid growth and incredible opportunities

Commitment to Diversity

GoFundMe is an equal opportunity employer, committed to creating an inclusive environment for all employees. We provide diversity, equity, and inclusion training and do not discriminate based on race, color, religion, ethnicity, nationality, sex, sexual orientation, gender identity, pregnancy, marital status, age, medical condition, disability, or military status.


The total annual salary for this full-time position ranges from $175,000 to $240,000, plus equity and benefits. Salary is determined by role, level, and location, with individual pay based on skills, experience, and education. For more information, contact your recruiter during the hiring process.

Accommodation Requests

If you need a reasonable accommodation to complete a job application, interview, or participate in the hiring process, please contact us at

Global Data Privacy Notice

For locations subject to GDPR or certain US privacy laws, our data management practices are outlined in our full privacy notice. By submitting your application, you agree to our use and processing of your data as required.

Learn More About GoFundMe

We partner with to extend our community’s impact and drive social change. Check out their FY ’23 annual report and our annual “Year in Help” report for more details. For recent news and announcements, visit our Newsroom.

Benefits and Compensation

  • 401(k) with matching
  • Vision, dental, and medical insurance
  • Unlimited vacation and paid time off
  • 4-day workweek
  • Company retreats
  • Coworking and learning budgets
  • Free gym membership
  • Mental wellness budget
  • Home office budget
  • Profit sharing and equity compensation

Join us in making a difference!