Block is looking for a Machine Learning Engineer to build AI products that automate workflows, deliver new AI-powered product experiences, and solve real customer needs, driving business growth and creating practical value across the company.
Requirements
- 12+ 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.
- 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
Responsibilities
- Leverage AI to automate workflows and deliver new AI-powered product experiences
- Develop scalable AI systems and platforms
- Collaborate across diverse teams to develop AI solutions by understanding and generalizing the problems of cross-functional stakeholders
- Lead AI innovation by building and open sourcing advanced frameworks and tools to enhance workflows and set industry standards
- Drive alignment with Block's AI strategy by acting as a company AI expert and educating other teams about how to apply cutting-edge AI to their domains
- Support the adoption of AI best practices across the company by providing guidance and sharing expertise
Other
- 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.
- Strong communication skills (verbal and written) with technical and non-technical stakeholders.
- We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process.
