Staff LLM Engineer
Go Fund Me
Job Summary
GoFundMe is seeking a Staff LLM Engineer to join their Applied Science organization. This hybrid role in Buenos Aires, Argentina, involves designing, developing, and deploying innovative services and applications leveraging state-of-the-art machine learning and AI techniques, including generative AI, personalization, recommender systems, search, and classification. The ideal candidate will have strong end-to-end execution skills and deep expertise in machine learning, AI, and secure software development to help people help each other.
Must Have
- Design and implement diverse AI and ML applications and workflows.
- Design and contribute to search, recommender, and personalization algorithms.
- Lead research and development of sophisticated machine learning models.
- Drive operational excellence in AI/ML workflows and establish standardized procedures.
- Continuously monitor and integrate emerging AI and machine learning research.
- Collaborate with technical and non-technical colleagues.
- Coach and mentor fellow engineers.
- 7+ years of hands-on experience in machine learning, data science, or related fields.
- Extensive knowledge of ML algorithms and statistical modeling.
- Proficiency in Python and ML libraries/frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience with LLM-based applications and development (OpenAI API, Anthropic, Hugging Face, LangChain, Llama).
- Experience designing, developing, and deploying end-to-end machine learning systems.
- Strong leadership skills, including guiding projects and mentoring team members.
- Ability to break down complex projects, scope work, and manage timelines.
- Excellent verbal and written communication skills.
Good to Have
- Advanced degree (Master’s or Ph.D.) in Computer Science, Statistics, Data Science, or a related technical field.
Perks & Benefits
- Competitive pay
- Comprehensive healthcare benefits
- Financial assistance for hybrid work
- Financial assistance for family planning
- Generous parental leave
- Flexible time-off policies
- Mental health and wellness resources
- Learning, development, and recognition programs
- Diversity, equity, and inclusion initiatives
- Volunteering program
Job Description
The Job…
- Design and implement diverse AI and ML applications and workflows, including agents, batch inferencing processes, and real-time inferencing solutions.
- Design and contribute to the development of search and retrieval algorithms, recommender systems, personalization algorithms, and more.
- Lead the research and development of sophisticated machine learning models and model training and evaluation pipelines.
- Drive operational excellence by leading initiatives to streamline AI and machine learning workflows and establish standardized procedures to ensure consistent and high-quality outcomes across our AI/ML projects and systems.
- Continuously monitor and evaluate emerging AI and machine learning research and technologies, integrating relevant advancements to enhance our 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 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 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, etc.
- Experience designing, developing, and deploying end-to-end machine learning systems, including data pipelines, model training and serving, and monitoring solutions.
- 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
- Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
- Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
- Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
- Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
- Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
- Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
- Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
- Community Engagement: Make a difference through our volunteering program.
We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!
GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. 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
.
Global Data Privacy Notice for Job Candidates and Applicants:
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:
We’re proud to partner with GoFundMe.org
, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘24 annual report
.
Our annual “Year in Help” report
reflects our community’s impact in advancing our mission of helping people help each other.
For recent company news and announcements, visit our Newsroom
.