Senior Staff Machine Learning Engineer (P5)

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

GoFundMe is a global community of over 100 million people with the common purpose of helping one another. Our mission is to help people help each other by making it safe and easy for people to ask for help and support causes — for themselves, each other, and their communities. In 2022, GoFundMe joined together with Classy, a leading nonprofit fundraising software company that enables nonprofits to connect supporters with the causes they care about. Together, GoFundMe and Classy 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 Principal ML Engineer to help design and implement our next generation of machine learning and 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.

The Job…

• Design and develop advanced machine learning models, model evaluation systems, and automated model training and deployment solutions.
• Design and develop high throughput batch inferencing solutions as well as distributed, low latency real-time inferencing services.
• Build efficient and robust systems to collect and prepare data for evaluation and model training.
• Conduct research to identify, evaluate, and build features that improve model performance.
• Evaluate and recommend opportunities to leverage data to grow the business and delight customers. 
• Collaborate with technical and nontechnical colleagues, including data scientists, engineers, product managers, and business stakeholders to drive the successful implementation of machine learning projects.
• Coach and mentor other ML engineers and contribute to our culture of learning, innovation, and operational excellence.

You…

• 9+ years of hands-on experience in machine learning, data science, and analytics with a consistent track record of successfully leading complex projects and deploying robust solutions into production environments.
• Extensive knowledge of ML algorithms, including a deep understanding of statistical modeling, and Python development tooling and libraries (Pandas, Numpy, Scikit-learn, Pytest, PySpark, SQL, Airflow, MLflow, Hugging Face Transformers, Tensorflow or PyTorch).
• Experience with LLMs, preferably including commercial solutions such as OpenAI API, Anthropic, AWS Bedrock, or open source models and frameworks like Hugging Face, LangChain, Llama-2, Falcon, Dolly, etc.
• Demonstrated ability to mentor ML engineers, fostering a collaborative and high-performing environment.
• Strong analytical and problem-solving skills, with the ability to apply creative solutions to real-world challenges.
• Comfortable experimenting with and incorporating cutting-edge techniques into our existing system.
• Excellent verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
• A Masters or Ph. D in Computer Science, Statistics, Data Science or related field is preferred.
• Sense of humor (optional but appreciated).

Why you’ll love it here...

• Market competitive pay
• Rich healthcare benefits including employer paid premiums for medical/dental/vision (100% for employee only plans and 85% for employee + dependent plans) and employer HSA contributions. 
• 401(k) retirement plan with company matching
• Hybrid workplace with fully remote flexibility for many roles
• Monetary support for new hire setup, hybrid work & wellbeing, family planning, and commuting expenses
• A variety of  mental and wellness programs to support employees   
• Generous paid 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 & development and recognition programs
• Gives Back Program where employees can nominate a fundraiser every week for a donation from the company
• Inclusion, diversity, equity, and belonging are vital to our priorities and we continue to evolve our strategy to ensure DEI is embedded in all processes and programs at GoFundMe. Our Diversity, Equity, and Inclusion team is always finding new ways for our company to uphold and represent the experiences of all of the people in our organization.
• Employee resource groups
• Your work has a real purpose and will help change lives on a global scale.
• You’ll be a part of a fun, supportive team that works hard and celebrates accomplishments together. 
• We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose
• We are a certified Great Place to Work, are growing fast and have incredible opportunities ahead!

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 $175,000- $240,000 + 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 or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com.

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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 are agreeing to our use and processing of your data as required.

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