Senior Machine Learning Engineer
Senior Machine Learning Engineer
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Job Description
Want to help us help others Were 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 bestinclass technology. In 2022 GoFundMe joined forces 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 ML Engineer to help design and implement our next generation of machine learning and generative AIbased services. You will collaborate with an accomplished and motivated team of individuals to deliver highimpact solutions for our users and our business.
Candidates considered for this position will be located or willing to relocate to San Francisco CA. This is a hybrid role with expectations to go into the SF office 3x per week.
The Job
- Lead the development design and maintenance of cuttingedge LLMbased applications ensuring the translation of generative AI research into productionready technologies.
- Lead prompt engineering initiatives for LLMbased applications working closely with product managers and nontechnical stakeholders to optimize model performance and meet quality benchmarks.
- Design and deploy orchestration and evaluation frameworks to ensure highquality lowlatency generative AI solutions optimizing performance and reliability for large language models.
- Design and develop scalable efficient machine learning training and inference pipelines ensuring seamless integration with existing production systems and adherence to best engineering practices.
- Support operational excellence by participating in initiatives to streamline machine learning workflows and establish standardized procedures to ensure consistent and highquality outcomes across our ML projects and systems.
- Collaborate closely with ML engineers and crossfunctional teams including data scientists software engineers product managers and business stakeholders to foster a culture of collaboration scientific inquiry continuous learning and drive the successful implementation of machine learning projects.
- 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
- 4 years of handson experience in machine learning data science or related fields with a strong emphasis on practical engineering applications and deploying robust solutions into production environments.
- Extensive experience with large language models (LLMs) including finetuning prompt engineering RetrievalAugmented Generation (RAG) and deploying LLMs in userfacing products.
- Experience designing developing and deploying endtoend machine learning systems including data pipelines model training and serving and monitoring solutions.
- Demonstrated ability to guide projects and foster a collaborative and highperforming 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 nontechnical stakeholders.
- Advanced degree (Masters or Ph.D. in Computer Science Statistics Data Science or a related technical field is preferred.
- A sense of humor is optional but appreciated.
Why youll love it here...
- Make an Impact: Be part of a missiondriven organization making a positive difference in millions of lives every year.
- Innovative Environment: Work with a diverse passionate and talented team in a fastpaced forwardthinking 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 and commuting along with generous parental leave flexible timeoff policies and mental health and wellness resources to support your overall wellbeing.
- 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 and Gives Back programs.
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 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 fulltime position is $128500 $192500 equity benefits. Salary is based on experience and qualifications.
If you require a reasonable accommodation to complete a job application a job interview or to otherwise participate in the hiring process please contact us at .
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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 agree to our use and processing of your data as required.
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Required Experience:
Senior IC
Employment Type
Full Time
