Cohere

Senior Member of Technical Staff, MLE (Korea)

Seoul, South Korea

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Consumer SoftwareIndustries

Position Overview

  • Location Type: Remote
  • Employment Type: Full-Time
  • Salary: (Salary not provided)

Cohere is dedicated to scaling intelligence to serve humanity by training and deploying frontier models for developers and enterprises. The company fosters a culture of hard work, fast iteration, and customer-centricity. This role involves direct customer engagement to understand their challenges and to design and implement solutions utilizing Large Language Models.

Why this Role?

  • Work directly with customers to understand their challenges.
  • Design and implement solutions using Large Language Models.
  • Deliver products with the impact of an early-stage startup.
  • Disrupt important industries and institutions globally.
  • Contribute to the widespread adoption of AI.
  • Mentor a distributed team of engineers.
  • Identify opportunities and gaps in existing models.
  • Collaborate with product teams and partner organizations.
  • Assist with patent preparation.

Requirements

  • Prior experience in leading ML teams in applied research and production.
  • Prior experience in setting and executing technical direction to build new or refine existing products.
  • Prior experience in working cross-discipline in matrixed organizations.
  • Proficiency in Python and related ML frameworks: Tensorflow, TF-Serving, JAX, and XLA/MLIR.
  • Experience using large-scale distributed training and inference.
  • Strong mentorship, communication, and problem-solving skills.
  • Demonstrated passion for applied ML models and products.
  • Working proficiency in Korean.

Responsibilities

  • Plan and execute large-group projects from ideation to production.
  • Bring cross-functional alignment across engineering, product, and other disciplines.
  • Mentor a distributed team of engineers in subject matter expertise.
  • Identify opportunities and gaps in existing models and strategize what to work on.
  • Work closely with product teams to develop solutions.
  • Engage in collaborations with partner organizations.
  • Assist legal teams with preparation of patents on developed IP.

Company Information

  • Mission: To scale intelligence to serve humanity.
  • Focus: Training and deploying frontier models for developers and enterprises.
  • Values: Obsession over what they build, hard work, fast iteration, customer-centricity, and a diverse range of perspectives.

Additional Notes

  • This role is suitable for individuals with a strong background in applied ML.
  • Experience working for B2B companies in the ML space is a plus.
  • The company encourages applications from individuals whose experience may not perfectly align with the listed requirements.

Skills

Python
Tensorflow
TF-Serving
JAX
XLA/MLIR
Distributed Training
Distributed Inference
Korean

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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