Senior Machine Learning Engineer

Classy, a subsidiary of GoFundMe, is a Public Benefit Corporation and donation platform that helps nonprofits connect supporters to the causes they are passionate about. Classy's platform offers powerful and user-friendly fundraising tools to attract and retain donors. Since 2011, Classy has assisted nonprofits in their mission to change the world for the better by helping them raise over $5 billion. Classy also organizes the Collaborative conference and the Classy Awards to highlight the innovative work nonprofits are doing worldwide. For more information, visit www.classy.org. About the role: Join us! The Classy team is looking for a Staff Machine Learning Engineer to oversee the end-to-end implementation of machine learning products in our data function. You will work with an accomplished team to drive impact for our users and our business. What you'll achieve: -Provide technical leadership and guide the development and deployment of machine learning models. -Work closely with other data scientists, engineers, product managers, and business stakeholders to successfully implement machine learning projects. -Collaborate with senior management to outline a long-term machine learning strategy, identifying opportunities to utilize data for business growth and customer happiness. -Design, develop, and deploy advanced machine learning models, algorithms, and data pipelines to solve complex problems and enhance business processes. What you need: -8+ years of practical experience in machine learning, data science, and analytics with a proven record of leading complex projects. -Experience in developing and implementing large-scale and/or real-time Machine Learning projects. -Extensive understanding of machine learning algorithms, including a deep understanding of statistical modeling, and Python development tools and libraries. -Expertise in SQL and analytical warehouses (Snowflake) -Demonstrated ability to improve the Machine Learning discipline and foster a high-performing environment. -Exceptional analytical and problem-solving skills, with the ability to apply innovative solutions to real-world problems. -Comfortable experimenting with and incorporating new techniques into our existing system. -Excellent verbal and written communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders. A Masters or Ph.D in Computer Science, Economics, Statistics, Data Science, or related field is preferred. Preferred Qualifications: -Prior experience with pricing predictions and/or time-series forecasting -Experience with Generative AI is a plus, but not required Why you'll love it here: We offer a competitive salary and rich healthcare benefits, including full employer paid premiums for medical, dental, and vision insurance, employer HSA contributions, a 401(k) retirement plan with company matching, a remote-friendly work environment, monetary support for new hire setup, hybrid work & wellbeing, family planning, and commuting costs, and a variety of mental and wellness programs to support employees. We have generous paid parental leave and family planning allowances, flexible time off policies, learning & development and recognition programs, a Gives Back Program where employees can nominate a fundraiser every month for a donation from the company, and an ongoing commitment to diversity, equity, inclusion, and belonging. Plus, our work has real purpose and you'll be part of a fun, supportive team that works hard and celebrates success together. Dedication to Diversity Classy is committed to creating a more diverse and inclusive environment that represents individuals of all backgrounds, experiences, and lifestyles, allowing all employees to feel comfortable being their authentic selves in an environment that encourages productivity and significant work. The total annual salary for this full-time position is $150,000 - $200,000 + equity and benefits. The final salary will be determined by the job location and other factors such as job-related skills, experience, and relevant education or training. If you require any reasonable accommodations to complete a job application or interview or to participate in the hiring process, please email us at [email protected].