Member of Technical Staff, Agents Modeling

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, AI & Machine Learning, Software DevelopmentIndustries

Requirements

Candidates should possess a PhD in computer science or a related field, or equivalent industry research experience. Strong software engineering skills, proficiency in Python, and experience with ML-related code such as PyTorch and NumPy are required. Experience with LLMs, agentic frameworks, post-training LLMs (SFT, PEFT, or RL*), and building synthetic data generation pipelines is also necessary.

Responsibilities

The Member of Technical Staff will design and develop novel agentic solutions, aiming to improve state-of-the-art performance on challenging agentic tasks. Responsibilities include researching next-generation online learning-from-experience self-improvement techniques and collaborating with partner teams to enhance agentic system performance. The role involves working with a team of researchers and engineers to push the boundaries of AI.

Skills

Machine Learning

LLM

Agentic LLM systems

Reasoning

Tool use

Memory

Data-generation techniques

SFT

RLHF

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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