Jobs at Zyphra

Designs and maintains secure, observable, scalable infrastructure for ML research and production workloads. Responsibilities include infrastructure as code, CI/CD, deployment reliability, monitoring, incident response, disaster recovery, fault tolerance, release auditability, and performance hardening. The role supports GPU clusters, cloud environments, reproducible experiments, and ML model-serving infrastructure while partnering with ML, DevOps, and infrastructure teams.

Build and operate Linux-based ML training clusters and inference cloud infrastructure. Responsibilities include access management, hardware validation, job scheduling, container orchestration, CI/CD, observability, incident response, capacity planning, autoscaling, cost tracking, and production security. The role supports heterogeneous accelerators, large-scale training, LLM serving, developer workflows, and reliable model deployments while collaborating across training, inference, product, and technical teams.

As a GTM Engineer, you'll design AI-driven workflows for sales and marketing operations, automate processes, and collaborate across teams to enhance go-to-market strategies.

The Principal Solutions Architect will act as a technical authority for integrating Zyphra's AI models, develop partnerships, and guide customers in understanding technical value, while influencing product direction based on market intelligence.

The Developer Relations Lead will grow Zyphra's developer community, engage with AI developers, drive adoption metrics, and represent the company at events. Responsibilities include building community strategy and creating technical content while collaborating with research and product teams.

As a Fullstack Engineer at Zyphra, you will develop agentic systems, design search pipelines, integrate machine learning models, and build secure execution environments.

As a Research Engineer, you will optimize AI performance, focusing on kernel development for large-scale ML workloads, profiling bottlenecks, and collaborating with teams to enhance model training and inference.

The Research Engineer will contribute to developing EEG and brain-computer interface models, handling data collection, model training, and optimization. Responsibilities include innovating training methodologies and integrating models into practical BCI applications.

Lead the design and development of user interfaces for AI interactions, collaborating with engineers and researchers to create seamless user experiences.

As a Machine Learning Engineer, you will build agentic systems for autonomous web navigation and complex task completion, integrating LLMs and reinforcing learning.

As a Research Scientist at Zyphra, you will conduct research in reinforcement learning and language model reasoning, implementing innovative ideas to enhance next-generation AI models.

As a Data Engineer, you will create and optimize datasets and data pipelines, focusing on large-scale data collection across various modalities and collaborating with multiple teams.