Develop and optimize a large neural network-based tabular model, focusing on performance bottlenecks and memory efficiency. Rewrite critical Python components in Rust or C++ to improve latency and throughput across ML pipelines.
Fundamental
7 Remote Job Openings at Fundamental
Manage and grow the social presence of the company and its executive leadership team on LinkedIn and X. Develop high-quality, opinion-driven content and digital narratives that resonate with enterprise technology audiences and AI leaders.
Manage calendars, travel, and meeting logistics for the CEO and leadership team while optimizing operational processes. Support team velocity by handling administrative tasks and improving internal documentation and workflows.
You will develop robust backend services and APIs for model inference while designing responsive, user-friendly frontends for model interaction. Additionally, you will collaborate with MLOps and DevOps teams to optimize system architecture and ensure reliable data integration.
Lead and mentor a team of DevOps engineers while defining the infrastructure roadmap and cloud architecture. Partner with cross-functional teams to optimize infrastructure for AI model training, production SaaS hosting, and enterprise deployment models.
You will act as the connective tissue between research, engineering, and infrastructure teams to manage the lifecycle of research programs. This includes scoping, roadmapping, and implementing efficient processes to ensure the team meets its objectives.
You will design, build, and maintain production model serving infrastructure for the NEXUS Large Tabular Model using Triton Inference Server. This role involves optimizing inference pipelines for latency and throughput while managing resource observability and performance tuning.
