Software Engineer - Applied ML

July 23

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Logo of Cohere

Cohere

Artificial Intelligence • Enterprise • SaaS

Cohere is a leading enterprise AI platform optimized for generative AI, search and discovery, and advanced retrieval. The company offers AI-powered applications designed to augment and elevate the global workforce, helping businesses thrive in the AI era. Cohere provides solutions such as embedding and reranking models, allowing enterprises to efficiently retrieve information and build powerful applications. The company offers flexible deployment options for enterprise-grade AI, on any cloud or on-premises, and provides extensive developer resources and support. Cohere is committed to scaling intelligence to serve humanity, making intelligence abundant, affordable, and accessible.

📋 Description

•As a Software Engineer on our Applied ML team you will work directly with customers to quickly understand their greatest problems and design and implement solutions using Cohere's stack. •In this role, you’ll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. •You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally! •Own and build large new areas within our product. •Work across the backend, frontend, and interact with Large Language Models. •Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations. •Work across the entire product lifecycle from conceptualisation through production.

🎯 Requirements

•Proficiency in one or more of Go, Python, Node, React, Next.js. •Experience building ML infrastructure and AI-powered solutions. •Background in developing language models using frameworks like Lang Chain and evaluating their performance using tools such as the Llama Index. •A track record in scaling products at hyper-growth startups. •Strong written and verbal communication skills. •Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences. •Experience building LLM applications using tools such as Langchain. •Experience in Information Retrieval systems for document question answering. •Experience in day-to-day NLP for the industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.).

🏖️ Benefits

•🤝 An open and inclusive culture and work environment •🧑‍💻 Work closely with a team on the cutting edge of AI research •🍽 Weekly lunch stipend, in-office lunches & snacks •🦷 Full health and dental benefits, including a separate budget to take care of your mental health •🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK •🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement •🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend •✈️ 6 weeks of vacation

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