Requirements

Bachelor’s degree or equivalent practical experience.
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
5 years of experience with one or more of the following: Speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field.
5 years of experience with ML design and ML infrastructure.

Nice to haves

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
5 years of experience with data structures and algorithms.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

Partner directly with customers to understand their business issues. Design, co-develop, debug, and deploy custom conversational AI agents and solutions to accelerate their time to value.
Systematize learnings from customer engagements by creating reusable tools, building documentation and accelerators, and establishing best practices across the organization.
Act as a high-level problem solver, empowered to write bespoke code, develop custom tooling, and even contribute directly to the core product codebase to resolve critical customer issues.
Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.

Work on next-generation technologies that change how users interact with information.
Opportunities to switch teams and projects as the business grows and evolves.
Versatile engineering tasks across full-stack.