Senior Research Engineer, Model Evaluation at Cohere

Toronto, Ontario, Canada

Cohere Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, AI & Machine LearningIndustries

Requirements

Candidates should have a strong background in pushing the limits of LLMs and experience building high-quality evaluation resources such as datasets, simulators, or environments. A proven track record of developing new methods or data for LLM evaluation, demonstrated through publications at top-tier conferences or popular benchmarks, is required. Deep experience building with and around LLMs, coupled with strong software engineering skills for analyzing and understanding LLM performance, is also necessary.

Responsibilities

The Senior Research Engineer, Model Evaluation will develop evaluation benchmarks, datasets, and environments to measure the cutting edge of model capabilities. This role involves conducting research to advance LLM evaluation methods, including training LLM judges, improving evaluation efficiency, and scalably building high-quality datasets. Additionally, the engineer will build scalable tools for investigating and understanding evaluation results, which will be utilized by technical staff, leadership, and the CEO.

Skills

LLM Evaluation
Evaluation Benchmarks
Datasets
LLM Judges
Software Development
Research
Scalable Infrastructure
Data Analysis

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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