Senior Research Scientist, Model Evaluation at Cohere

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Machine LearningIndustries

Requirements

Enjoy rapidly building prototypes that demonstrate the boundaries of what LLMs are capable of, and have developed resources to measure those capabilities
Have spent dozens of hours reviewing complex data and LLM outputs to ensure high data quality
Are obsessive about rigorously measuring AI capabilities, and about making sure your measurements actually align with the capabilities you care about
Have strong software engineering skills

Responsibilities

Create ambitious new evaluation benchmarks that push the limits of what our models can accomplish
Work on highly cross-functional teams to translate model feedback into trustworthy, repeatable evaluations
Conduct research to advance the state-of-the-art in LLM evaluation methods, including training LLM judges; refining LLM-based data synthesis pipelines; and improving evaluation efficiency
Build scalable and reusable tools for digging into model performance

Skills

LLM Evaluation

Benchmark Creation

LLM Judges

Data Synthesis

Evaluation Infrastructure

Model Performance Analysis

Prototyping

Scalable Tools

Research Methods

Cross-functional Collaboration

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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