Cohere

Member of Technical Staff, Modeling

London, England, United Kingdom

Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries

Requirements

Candidates should possess extremely strong software engineering skills and proficiency in Python along with related machine learning frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR. Experience writing kernels for GPUs using CUDA and utilizing large-scale distributed training strategies is essential. Familiarity with autoregressive sequence models, particularly Transformers, is also required. A bonus is having a paper published at top-tier venues such as NeurIPS, ICML, or ACL.

Responsibilities

As a Member of Technical Staff, you will design, build, and scale AI systems for serving users. You will research, implement, and experiment with innovative ideas on the supercompute and data infrastructure while learning from and collaborating with leading researchers in the field.

Skills

Python
TensorFlow
TF-Serving
JAX
XLA/MLIR
CUDA
Distributed Training
Transformers
Sequence Models

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.

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