Cohere

Member of Technical Staff, MLE

New York, New York, United States

Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries

Requirements

Candidates should have at least 3 years of experience in model training, deployment, and maintenance in a production environment. Strong skills in natural language processing (NLP) and deep learning are required, along with experience scaling products at a hyper-growth startup. Excellent written and verbal communication skills are essential, and the ability and willingness to travel up to 25% to client sites is necessary.

Responsibilities

The Member of Technical Staff will own and build large new areas within the product. They will work across backend, frontend, and customize Large Language Models. The role involves experimenting at a high velocity and level of quality to engage customers and deliver solutions that exceed expectations. Additionally, they will work across the entire product lifecycle from conceptualization through production.

Skills

NLP
Deep Learning
Python
SpaCy
HuggingFace
NLTK
Fine-tuning
RLHF
Information Retrieval
LLM performance
Model training
Model deployment
Production environment

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.

Key Metrics

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.

Land your dream remote job 3x faster with AI