Senior Staff Machine Learning Engineer

Buenos Aires, Argentina

GoFundMe

Start your fundraiser in minutes with tools to help you succeed. GoFundMe is the global leader in crowdfunding, trusted by 100+ million people.

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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 together 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 Staff 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.

This is a remote position. Candidates considered for this role will be located in Argentina.

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 and supportive time off policies.
  • Monetary support for new hire setup, hybrid work & wellbeing, and family planning.
  • A variety of mental and wellness programs to support employees.
  • 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.

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.

Learn more about GoFundMe:

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Tags: Airflow Anthropic APIs AWS Computer Science LangChain LLaMA LLMs Machine Learning MLFlow ML models Model training Nonprofit NumPy OpenAI Open Source Pandas Privacy PySpark Python PyTorch Research Scikit-learn SQL Statistical modeling Statistics TensorFlow Transformers

Perks/benefits: Career development Competitive pay

Regions: Remote/Anywhere South America
Country: Argentina

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