🕒 11 days ago
Lead the team responsible for evaluating NEXUS, building shared benchmarks and reliable evaluation tooling, and translating evidence on model quality, latency, and cost into research and release decisions.
Fundamental jobs
Frontier AI research lab behind NEXUS, a Large Tabular Model for enterprise decision-making.
🏢 Artificial Intelligence🤖 AI Research And Enterprise Software
16 open roles at Fundamental
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🕒 15 days ago
Develop and evaluate machine learning models across the full research lifecycle, from novel architectures and training methods to evaluation protocols and efficient training and inference, while building research code for rapid.
Forward Deployed Data Scientist - Oil & Gas, Houston
📅 Aug 21
Fundamental🏢 Artificial Intelligence🤝 B2B
📅 Aug 21
Deploy and optimize data science solutions for enterprise Oil & Gas customers, from proof of value through production, while benchmarking models, solving integration challenges, and informing the product roadmap.
📅 Jul 20
Build and operate scalable MLOps infrastructure, from automated training and deployment pipelines to low-latency model serving, monitoring, and efficient GPU resource management.
📅 Jul 1
Leads an MLOps team and roadmap, owning the architecture and operation of scalable ML infrastructure, pipelines, and serving workflows while connecting research experimentation with production needs.
📅 Jun 22
Research, develop, and productize data science methods that improve predictive performance on enterprise data, using rigorous experiments and production-quality Python to turn findings into product capabilities.
📅 Jun 22
Own and improve the reliability, performance, and scalability of backend Extensions, building observable distributed workflows and translating data science requirements into production-ready Python systems.
📅 Jun 16
Own customer technical success from discovery through deployment and scale, designing enterprise architectures and building predictive applications that deliver measurable business impact.
📅 Jun 16
Deploy and optimize data science solutions with customers, from proof of value through production, benchmarking models and translating technical findings into business impact and product roadmap inputs.
📅 May 20
Develop and optimize neural network-based tabular ML systems, profiling training and inference pipelines and implementing performance-critical components in Rust to improve efficiency, reliability, and scalability.
📅 Apr 9
Build and optimize production inference systems for a large tabular model, spanning Python runtime performance, distributed orchestration, GPU serving, deployment architecture, and observability.
📅 Feb 18
Own and scale strategic technology partnerships that expand NEXUS adoption, aligning partner and internal teams on integrations, joint go-to-market plans, co-sell motions, and measurable business outcomes.
📅 Feb 4
Leads the DevOps team and infrastructure strategy, overseeing cloud architecture, Kubernetes for GPU workloads, GitOps, infrastructure as code, observability, reliability, security, and cloud cost optimization.
📅 Feb 3
Build the frontend and backend systems that let users interact with enterprise AI models, including scalable inference APIs, data integrations, responsive interfaces, and reliable asynchronous processing.
📅 Jan 22
Build production-grade applications and integration layers that bring AI model predictions into enterprise workflows, partnering with customers and internal teams to deliver secure, reliable, and intuitive solutions.
📅 Dec 2, 2025
Design and operate cloud infrastructure for GPU-intensive machine learning and production SaaS, building Kubernetes platforms, deployment pipelines, observability, and cost optimization practices.
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