Senior Member of Technical Staff, MLE at Cohere

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, SoftwareIndustries

Requirements

Candidates should possess prior experience in leading ML teams in applied research and production, along with prior experience in setting and executing technical direction to build new or refine existing products. They should also have experience working cross-discipline in matrixed organizations, proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR, and experience using large-scale distributed training and inference. Strong mentorship, communication, and problem-solving skills are required, as is a demonstrated passion for applied ML models and products.

Responsibilities

As a Senior Member of Technical Staff, the individual will plan and execute large-group projects, bring cross-functional alignment across engineering, product, and other disciplines, mentor a distributed team of engineers, identify opportunities and gaps in existing models, work closely with product teams to develop solutions, engage in collaborations with partner organizations, and assist legal teams with patent preparation. They will also apply their problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption and deliver products like early startup CTOs/CEOs do, disrupting important industries globally.

Skills

Large Language Models

Problem-solving

Technical Skills

Project Planning

Cross-functional Alignment

Mentoring

Model Strategy

Collaboration

Patent Preparation

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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