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

Requirements

Candidates should have prior experience in leading ML teams in applied research and production. They must have experience in setting and executing technical direction to build or refine products, as well as in working cross-discipline in matrixed organizations. Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR is required, along with experience using large-scale distributed training and inference. Strong mentorship, communication, and problem-solving skills are essential, along with a demonstrated passion for applied ML models and products. Working proficiency in Korean is necessary, and experience in B2B companies in the ML space is a bonus.

Responsibilities

As a Senior Member of Technical Staff, you will plan and execute large-group projects from ideation to production. You will bring cross-functional alignment across engineering, product, and other disciplines. Mentoring a distributed team of engineers in subject matter expertise is expected, along with identifying opportunities and gaps in existing models and strategizing on improvements. You will work closely with product teams to develop solutions and engage in collaborations with partner organizations, assisting legal teams with the preparation of patents on developed IP.

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.

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