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Staff Machine Learning Engineer
hace 2 semanas
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 Staff Machine Learning 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 hybrid position.
Candidates considered for this role will be located in Buenos Aires, Argentina. The Job… Spearhead the research and development of sophisticated machine learning models, model evaluation systems, and algorithms to address complex business challenges and drive innovation.Architect and implement high-throughput batch inferencing solutions as well as distributed, low-latency real-time inferencing services to support diverse ML applications.Design and develop scalable, efficient machine learning training and inference pipelines, ensuring seamless integration with existing production systems and adherence to best engineering practices.Drive operational excellence by leading initiatives to streamline machine learning workflows and establish standardized procedures to ensure consistent and high-quality outcomes across our ML projects and systems.Continuously monitor and evaluate emerging machine learning research and technologies, integrating relevant advancements to enhance our ML solutions.Collaborate with both technical and non-technical colleagues, including data scientists, software engineers, product managers, and business stakeholders, to drive the successful implementation of machine learning projects.Coach and mentor fellow ML engineers, contributing to our culture of collaboration, scientific inquiry, continuous learning, and engineering excellence.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… 7+ years of hands-on experience in machine learning, data science, or related fields, with a strong emphasis on research, scientific methodology, and practical engineering applications.Extensive knowledge of machine learning algorithms and statistical modeling, coupled with proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, and others.Experience designing, developing, and deploying end-to-end machine learning systems, including data pipelines, model training and serving, and monitoring solutions.Experience with LLM-based applications and development, including commercial solutions such as OpenAI API and Anthropic, as well as open-source models and frameworks like Hugging Face, LangChain, Llama-2, etc (Nice to have)Strong leadership skills, including guiding projects and mentoring team members, fostering 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.Sense of humor is 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.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
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