Infrastructure Software Engineer
Baseten150,000 - 200,000 USD/year
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries
Requirements
Candidates should have over 5 years of engineering experience managing production infrastructure at scale. Applicants must possess experience in designing highly available distributed systems using Kubernetes and GPU workloads, along with familiarity in Kubernetes development and production support. Proficiency in cloud services such as GCP, Azure, AWS, and hybrid environments is essential. Candidates should also have experience in complex Linux-based computing environments, resource management, and troubleshooting. Strong collaboration skills and the ability to adapt to solve evolving technical challenges are required, along with a solid understanding of distributed systems and programming experience in languages like Golang or C++.
Responsibilities
The Member of Technical Staff will develop, deploy, and operate the AI platform that delivers Cohere's large language models via API endpoints. The role involves working closely with various teams to deploy optimized NLP models in production environments characterized by low latency, high throughput, and high availability. Additionally, the position includes interfacing with customers to create customized deployments to meet their specific needs.
Skills
Kubernetes
GPU workloads
GCP
Azure
AWS
OCI
Linux
Resource Management
Accelerator Knowledge
Distributed Systems
Cohere
Provides NLP tools and LLMs via API
About Cohere
Cohere provides advanced Natural Language Processing (NLP) tools and Large Language Models (LLMs) through a user-friendly API. Their services cater to a wide range of clients, including businesses that want to improve their content generation, summarization, and search functions. Cohere's business model focuses on offering scalable and affordable generative AI tools, generating revenue by granting API access to pre-trained models that can handle tasks like text classification, sentiment analysis, and semantic search in multiple languages. The platform is customizable, enabling businesses to create smarter and faster solutions. With multilingual support, Cohere effectively addresses language barriers, making it suitable for international use.
Key Metrics
Toronto, CanadaHeadquarters
2019Year Founded
$914.4MTotal Funding
SERIES_DCompany Stage
AI & Machine LearningIndustries
501-1,000Employees