Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.
Architect and maintain custom multi-agent orchestration systems; collaborate with research engineers to automate design tools, leverage AI for architectural exploration, and narrow search spaces.
Perform code reviews to enforce best practices, optimize performance, build modular software packaging, and improve efficiency across the AI learning stack.
Drive project timelines, deliverables, and priorities; guide cross-functional teams; and lead or participate in design reviews to select optimal solutions.
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
5 years of experience with Machine Learning, Generative AI, Large Language Models (LLMs), AI Agents, or ML infrastructure.
3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
3 years of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
Preferred qualifications
Master's degree or PhD in Computer Science or related technical field.
5 years of experience with data structures and algorithms.
5 years of experience with AI/ML Infrastructure (e.g., GPUs, GKE, EKS, Kubernetes, Kubeflow).
Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
5 years of experience with Machine Learning, Generative AI, Large Language Models (LLMs), AI Agents, or ML infrastructure.
3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
3 years of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
