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Work with enterprise customers to identify high-value tabular ML use cases, design production-grade architectures, prototype solutions, lead deployments, coordinate cross-functional teams, and codify reusable deployment patterns to scale adoption of the NEXUS tabular foundation model.

Deploy and validate NEXUS in customer environments, perform end-to-end data and feature engineering, benchmark against baselines (XGBoost/LightGBM), optimize models for business impact, handle last-mile integrations (VPC/on‑prem/air-gapped), and translate field insights into product improvements while liaising with stakeholders.

The Social Media & Executive Brand Manager will enhance Fundamental's online presence, create engaging content for enterprise audiences, and develop strategies aligned with company initiatives.

Own end-to-end SDLC and toolset standardization across Applied AI, Engineering, and Research. Formalize FDE-to-product handoffs, align APIs and technical specs, run cross-team operating rhythms, remove delivery blockers, and provide leadership with accurate forward capacity and delivery accountability.

The Data Research Engineer will enhance ML model development by identifying data sources, building ETL pipelines, and collaborating on data storage solutions.

Develop and optimize large neural-network tabular models in Python. Profile training and inference pipelines, improve memory efficiency, latency, and throughput. Implement performance-critical components in Rust (and optionally C++), ensure numerical stability and reproducibility, collaborate with researchers to productionize capabilities, and maintain tests and documentation.

Design, build, and operate cloud infrastructure and Kubernetes clusters for GPU/ML workloads; implement GitOps, IaC (Terraform), CI/CD, monitoring, automation (Python/Bash), and cost-optimization alongside ML engineers.

Build and maintain front-end and back-end systems for model interaction and large-scale inference. Develop APIs, session persistence, event-driven architectures, database integrations (Snowflake/Databricks), and monitoring/retry mechanisms. Collaborate with MLOps/DevOps to optimize deployment and ensure reliable, scalable model-serving workflows.

The ABM Manager will create and lead account-based marketing strategies, coordinate campaigns, and enhance engagement with high-value clients and prospects across various channels and events.

As a software engineer in the research team, you will develop and maintain the core codebase, optimize workflows for researchers, and ensure production readiness while implementing best practices in ML software development.