Software Engineer, Collect at Cohere

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

Shipped fast and snappy web apps loved by many users
Experience shipping products with a large number of stakeholders
Comfortable with front and back end of the stack, and experience with Next.js, TypeScript, React, and Python
Mentored other engineers and passionate about developing junior folks
Excellent communication skills and believe documentation is a great way to get feedback and discuss technical implementations and designs
Excited to add new technologies to your toolbox and use them where it makes sense
Ability to take complex needs and goals and develop easy to understand explanations for all audiences

Responsibilities

Contribute to building critical internal tools and applications relied upon by hundreds of Cohere employees
Work with a small talented and enthusiastic team of software engineers
Contribute to delightful experiences for user-facing products, meticulously crafting code for browsers and occasionally server code
Collaborate and grow with engineering colleagues of all levels through direct pairing sessions, architectural designs, documentation, and talks
Identify and remove roadblocks to enable team to increase engineering velocity
Build resilient systems that are mission-critical
Keep up with the cutting edge and adopt new technologies to improve performance and reliability

Skills

Next.js

TypeScript

React

Python

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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