[Remote] Senior Member of Technical Staff, MLE (Japan) at Cohere

Tokyo, Japan

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Enterprise SoftwareIndustries

Skills

Key technologies and capabilities for this role

PythonTensorflowTF-ServingJAXXLA/MLIRDistributed TrainingDistributed InferenceMentorshipCommunicationProblem-SolvingJapanese

Questions & Answers

Common questions about this position

Is this role remote or office-based?

This is a remote position.

What salary can I expect for this position?

This information is not specified in the job description.

What are the key skills required for this role?

The role requires prior experience leading ML teams in applied research and production, setting technical direction for products, proficiency in Python and ML frameworks like Tensorflow, JAX, and experience with large-scale distributed training and inference, plus working proficiency in Japanese.

What is the company culture like at Cohere?

Cohere emphasizes a culture of hard work, fast movement, customer focus, obsession over building great products, and values diverse perspectives.

What makes a strong candidate for this Senior MLE role?

Strong candidates have experience leading ML teams, setting technical direction in matrixed organizations, proficiency in Python/ML frameworks and distributed systems, strong mentorship and communication skills, passion for applied ML, and working proficiency in Japanese; experience in B2B ML companies is a bonus.

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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