Key skills
Machine LearningLarge Language ModelsMLOpsCloud ComputingProduction-quality CodeTechnical DocumentationCommunication SkillsProblem SolvingAIMLGenerative AICommunication
About this role
Block is a company focused on economic empowerment, and they are seeking a Senior Machine Learning Engineer to enhance customer support through AI. The role involves designing and developing AI-driven features and tools, collaborating with various teams to improve customer support experiences.
Responsibilities:
- Leverage AI to automate support workflows and deliver new AI-powered support product experiences
- Design, build, and maintain scalable machine learning systems, including developing, fine-tuning, and integrating large language models and related systems, that power real customer and advocate experiences
- Collaborate cross-functionally with product, engineering, design, and operations teams to ship impactful AI features at scale
- Build generative AI systems that scale intelligently across multiple business units, adapting to diverse products, users, and use cases
- Stay current on the latest developments in LLMs and applied ML, assessing where new techniques (e.g., RAG, distillation, fine-tuning, prompt orchestration) can enhance our systems
- Mentor peers and contribute to technical documentation, design reviews, and shared best practices that raise the engineering bar for applied ML systems
Requirements:
- 8+ years of experience in training and deploying ML models, developing ML software, and shipping customer-facing ML products
- Deep understanding of modern ML techniques (e.g. Large Language Models) and the ML lifecycle from data gathering, training, model evaluation, MLOps, and productionizing models
- Ruthless pragmatism when solving new and unconventional problems
- A desire to understand our clients' needs in order to design tools and systems that solve our customer's problems. As a platform team, our main customers are internal developers and products
- Ability to produce production-quality code and services incorporating testing, evaluation, monitoring as well as the ability to quickly adapt to a new domain, hack MVP's, and iterate to improve product
- Experience using any of the major cloud vendors for high scale production use cases
- Strong communication skills (verbal and written) with technical and non-technical stakeholders