Job Overview
Location
San Francisco
Job Type
Full-time
Category
Engineering
Date Posted
August 8, 2026
Full Job Description
📋 Description
- • This is a rare opportunity to join the founding core engineering team of a fast-growing company building frontier AI for enterprise internet infrastructure.
- • The company designs and manufactures its own networking hardware — controllers, switches, and wireless access points — and manages full-stack installation and operations for business customers.
- • This full-stack ownership gives the team unique visibility and a proprietary dataset unlike anything available in academia or at most tech companies.
- • As a Model Engineer, you'll help define the intelligence layer for this infrastructure: training models that deeply understand networked systems, anticipate failure before it happens, and take autonomous corrective action.
- • You'll work at the intersection of applied ML research and production systems engineering, collaborating closely across hardware and software teams.
- • You'll train end-to-end models applied to fault prediction, network state modeling, and autonomous repair.
- • You'll build multi-modal models over structured networking data and implement function-calling to make network-wide decisions autonomously.
- • You'll evaluate model performance in both real-world hardware and virtualized environments, iterating to improve reliability and efficiency.
- • You'll contribute to shaping the technical direction and culture of a new applied research organization from the ground up.
🎯 Requirements
- • Hands-on experience building and training ML models for large-scale infrastructure, monitoring, automation, or systems optimization — this is a dealbreaker requirement.
- • Experience working with distributed systems data, telemetry, and anomaly detection to improve reliability and performance.
- • Proficiency in Python and one or more ML frameworks (e.g., PyTorch, TensorFlow).
- • Experience with MLOps: model deployment, monitoring, versioning, and automation pipelines in production.
- • Strong cross-functional communication skills, including presenting findings to both technical and non-technical stakeholders.
- • Strong CS fundamentals.
- • Willingness to work on-site in San Francisco, CA (Mission District).
🏖️ Benefits
- • Salary: $200,000 – $300,000 USD annually, depending on experience.
- • Visa sponsorship is not available for this role.
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Clera
Clera, Inc. operates as an AI Talent Agent, leveraging artificial intelligence to enhance and streamline various aspects of the talent acquisition and management process. The company's core offering appears to center on an AI-powered platform designed to connect skilled individuals with suitable opportunities or to assist organizations in efficiently sourcing and evaluating candidates. While comprehensive details regarding specific features, target industries, or the scale of its operations are not yet publicly available, the current online presence indicates that Clera's services are actively being prepared for launch. This suggests an upcoming introduction of innovative AI solutions aimed at optimizing the ecosystem where talent meets demand.
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