Fastly is looking to mature its data ecosystem and tooling, and invest heavily in AI and machine learning to unlock greater value and build out the infrastructure and practice for these technologies.
Requirements
- Strong programming skills in Python and experience with data science and AI libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face)
- Expertise in statistical analysis, machine learning algorithms, experimentation methodologies, large language models, and generative AI frameworks
- Experience working with modern data stacks, including Airflow, Fivetran, dbt, BigQuery, Vertex AI, and Looker
- Experience mentoring and leading others in data science skills and initiatives
- Related CDN industry experience
- Experience deploying and maintaining production machine learning systems
- Implementing and fine-tuning large language models or other generative AI systems for specific business applications
Responsibilities
- Lead end-to-end data science and AI projects from problem definition and data collection to model deployment and business implementation
- Design, develop, and optimize machine learning and generative AI models to solve complex business problems and drive measurable outcomes
- Integrate AI capabilities into existing products and workflows to enhance functionality and create new value opportunities
- Collaborate with engineering, product, and business teams to identify opportunities where data science and advanced AI can create significant impact
- Communicate insights and recommendations to technical and non-technical stakeholders through compelling visualizations and presentations
- Mentor junior team members and establish best practices for the team's AI approaches and methodologies
Other
- Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field
- Significant professional experience in a related technical or e-commerce field, applying data science and AI techniques to solve diverse business problems - Most Staff level folks at Fastly have at least 7 years of related experience.
- Demonstrated experience as a technical leader - leading full lifecycle initiatives, driving long term roadmaps, collaborating with cross-functional stakeholders, influencing best practices, mentoring team members, etc.
- This position will require you to be available during core business hours and participate in an on-call rotation.
- A fully completed application and resume or CV are required when applying.
