[Remote] Software Engineer, Internal Infrastructure (North America) at Cohere

Toronto, Ontario, Canada

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

Requirements

Deep experience running Kubernetes clusters at scale and/or scaling and troubleshooting Cloud Native infrastructure, including Infrastructure as Code
Strong programming skills in Go or Python
Prefer contributing to Open Source solutions rather than building solutions from the ground up
Self-directed and adaptable, and excel at identifying and solving key problems
Draw motivation from building systems that help others be more productive
See mentorship, knowledge transfer, and review as essential prerequisites for a healthy team
Excellent communication skills and thrive in fast-paced environments
Bonus: Previously worked with ML training infrastructure and GPU workloads and familiarity with RDMA networking
Bonus: Expertise to support and troubleshoot low level Linux systems
Bonus: Experience collaborating with research teams or machine learning engineers

Responsibilities

Build and operate Kubernetes compute superclusters across multiple clouds
Partner with cloud providers to optimize infrastructure costs, performance, and reliability for AI workloads
Work closely with research teams to understand their infrastructure needs and identify ways to improve stability, performance, and efficiency of novel model training techniques
Design and build resilient, scalable systems for training AI models, focusing on creating intuitive user interfaces that empower researchers to self-serve to troubleshoot and resolve problems
Encourage software best practices across our company and participate in team processes such as knowledge sharing, reviews, and on-call

Skills

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.

Toronto, CanadaHeadquarters

2019Year Founded

$914.4MTotal Funding

SERIES_DCompany Stage

AI & Machine LearningIndustries

501-1,000Employees

Risks

Competitors like Google and Microsoft may overshadow Cohere with seamless enterprise system integration.

Reliance on Nvidia chips poses risks if supply chain issues arise or strategic focus shifts.

High cost of AI data center could strain financial resources if government funding is delayed.

Differentiation

Cohere's North platform outperforms Microsoft Copilot and Google Vertex AI in enterprise functions.

Rerank 3.5 model processes queries in over 100 languages, enhancing multilingual search capabilities.

Command R7B model excels in RAG, math, and coding, outperforming competitors like Google's Gemma.

Upsides

Cohere's AI data center project positions it as a key player in Canadian AI.

North platform offers secure AI deployment for regulated industries, enhancing privacy-focused enterprise solutions.

Cohere's multilingual support breaks language barriers, expanding its global market reach.

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