Software Engineer - Applied ML (US/CAN)

San Francisco, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, AI & Machine Learning, Software DevelopmentIndustries

Requirements

Proficiency in Go, Python, Node, React, or Next.js is required, along with experience building ML infrastructure and AI-powered solutions. A background in developing language models using frameworks like Lang Chain and evaluating performance with tools like Llama Index is necessary. A track record in scaling products at hyper-growth startups and strong written and verbal communication skills are also essential. Experience building LLM applications using tools such as Langchain and experience in Information Retrieval systems for document question answering are nice to have.

Responsibilities

The Software Engineer will work directly with customers to understand their problems and implement solutions using Cohere's stack. They will own and build new product areas, working across the backend, frontend, and interacting with Large Language Models. The role involves experimenting at high velocity and quality to engage customers and deliver solutions, and working across the entire product lifecycle from conceptualization through production.

Skills

Python

Node

React

Next.js

ML infrastructure

AI-powered solutions

Large Language Models (LLMs)

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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