← All jobs · Poolside

Forward Deployed Research Engineer (FDRE - Clearance)

Poolside ·
85
AI-Agency
B82 U88
📍 New York, US 🌐 Remote-only 🛠 AI tools welcome at work Senior
PythonKubernetesDockerTerraformPostgreSQLGrafanaPrometheusDatadog
TL;DR

Forward Deployed Research Engineer at Poolside building agentic systems for enterprise customers. Combines software engineering, applied AI research, and product work to deploy high-reliability AI systems in the field while feeding signals back to core R&D.

Apply at Poolside →
share:
you'll be redirected to the company's career page

Job description

ABOUT POOLSIDE

In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers.

ABOUT OUR TEAM

ABOUT THE ROLE

As an FDRE, you'll be embedded with customers, figuring out how to build real agentic systems to solve hard problems.

Hard problems aren’t solved from an armchair; the right to solve them comes from experience, resilience, and a little scar tissue, earned by engaging with reality.

This role gives you direct exposure to frontier AI R&D and a front-row seat to the most valuable problems and industries on the planet. You’ll operate at the intersection of software engineering, applied AI and agent research, and product - designing and deploying high-reliability systems, while feeding signal back into our products and models. This role requires TS/SCI clearance.

RESPONSIBILITIES

FDREs work in small teams with the agility and autonomy of a startup, but with the experience and support of an established organization. Among other things, you will

WHAT YOU'LL SEE IN THE FIELD

These are the kinds of skills and technologies you’ll likely use and develop over time. Strong experience in any is a plus, not a prerequisite. We look for spikes!

Enterprise delivery: Security/compliance, data governance, integration with legacy systems.

SKILLS & EXPERIENCE

PROCESS

BENEFITS

Apply at Poolside →

More open roles at Poolside

Poolside ⚡ AI-native · 🔄 synced 11h ago
Member of Engineering (Reinforcement Learning)
🌐 Remote-only 🛠 AI tools welcome at work · Mid
Member of Engineering (Reinforcement Learning) at Poolside, a startup building agentic coding assistants. Role focuses on researching and scaling RL algorithms to improve reasoning and code generation in large language models, with access to thousands of GPUs.
PythonPyTorchJAXTransformersReinforcement Learning
89
AI-core
Poolside ⚡ AI-native · 🔄 synced 11h ago
Member of Engineering (Post-training)
🌐 Remote-only 🛠 AI tools welcome at work · Mid
Member of Engineering (Post-training) at Poolside, focused on turning pre-trained LLMs into well-aligned AI systems for coding. Responsibilities include building data pipelines, researching post-training algorithms, designing experiments, and maintaining training infrastructure.
PythonPyTorchJAXTransformersLinux
89
AI-core
Poolside ⚡ AI-native · 🔄 synced 11h ago
Member of Engineering (Agent Harness)
📍 US 🌐 Remote-only 🛠 AI tools welcome at work · Mid
Member of Engineering (Agent Harness) at Poolside building core frameworks and runtime environments for AI coding agents. Focus on secure, scalable orchestration systems for enterprise deployment.
GoPythonDockerKubernetes
83
AI-core
Poolside ⚡ AI-native · 🔄 synced 11h ago
Member of Engineering (Pre-training / Data Research)
📍 US 🌐 Remote · Mid
Member of Engineering (Pre-training / Data Research) at Poolside, building high-quality datasets for training frontier LLMs and coding agents. Focus on data curation, synthetic generation, and pipeline optimization at scale.
PythonPyTorchTransformersGPU clustersdistributed data pipelines
83
AI-core
Poolside ⚡ AI-native · 🔄 synced 11h ago
Member of Engineering (Pre-training / Synthetic Data)
📍 US 🌐 Remote-only · Mid
Member of Engineering at Poolside focused on pre-training and synthetic data generation for coding models. Role involves designing large-scale data pipelines, collaborating with research and product teams, and optimizing dataset quality for training frontier models.
PythonPyTorchGPU clustersdistributed data pipelines
79
AI-core