Member of Technical Staff

Eragon

San Francisco, CAJobPosted 5mo agoStill listed today

San Francisco, CAJobNo compensation foundPosted 5mo agoStill listed today

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At a glance

Compensation

No compensation found

Location

San Francisco, CA

Work Authorization

Not specified

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Job overview

Eragon is seeking a Member of Technical Staff to build and deploy production-grade AI systems, working across modeling, systems, and product to bring ideas into real-world applications. The role includes developing and evaluating machine learning models, designing scalable pipelines, optimizing system performance, integrating data and infrastructure, collaborating across teams, and implementing evaluation and monitoring frameworks.

Skills & qualifications

RequiredNice to have

Skills

Machine LearningSystems EngineeringData ProcessingCloud InfrastructureData PipelinePythonEngineering FrameworksMachine Learning FrameworksData PipelinesAPIsAWSGCPMachine Learning ModelsProduction ML DeploymentLLMsAgentsWorkflow AutomationDistributed SystemsLarge-Scale Infrastructure

Qualifications

Bachelor's or Master's in CS or EngineeringProduction Systems ExperienceMachine Learning ExperienceProduction ML Deployment ExperienceDistributed Systems ExperienceFast-Paced Environment Experience

Full job description

Job Description

We’re looking for a Member of Technical Staff to build and deploy production-grade AI systems. In this role, you’ll work across modeling, systems, and product to take ideas from concept to real-world applications.

Key Responsibilities

System Development & Deployment: Build, integrate, and deploy AI-powered systems into production environments
Model Development: Fine-tune, evaluate, and work with machine learning models in real-world applications
Systems Engineering: Design scalable pipelines for training, inference, and data processing
Performance Optimization: Improve latency, throughput, cost efficiency, and reliability of systems
Data & Infrastructure: Work with large-scale datasets and integrate systems with internal tools and APIs
Cross-Functional Collaboration: Partner with product, research, and design to ship end-to-end features
Evaluation & Monitoring: Implement evaluation frameworks, observability, and feedback loops

Minimum Qualifications

Education: Bachelor’s or Master’s in Computer Science, Engineering, or related field
Technical Skills: Strong proficiency in Python and modern engineering or ML frameworks
Production Experience: Experience building and deploying systems in production environments
Systems Knowledge: Familiarity with data pipelines, APIs, and cloud infrastructure (AWS, GCP)
Practical ML Experience: Experience working with machine learning models or data-driven systems

Nice to Have

Experience deploying or scaling ML systems in production
Familiarity with LLMs, agents, or workflow automation systems
Experience with distributed systems or large-scale infrastructure
Background in fast-paced or early-stage environments

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