[Remote] Member of Technical Staff, Pre-Training Data Engineer at Cohere

Toronto, Ontario, Canada

Cohere Logo
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, AI & Machine Learning, Data Engineering, Natural Language ProcessingIndustries

Skills

Key technologies and capabilities for this role

Data InfrastructureData IngestionData CleaningData FilteringData OptimizationData ModelingPipeline DevelopmentData AblationData Mixture ExperimentationData Quality AssuranceMultilingual DataSynthetic DataScalable Data ProcessingResearch and EngineeringModel Performance OptimizationThroughputAccelerator Utilization

Questions & Answers

Common questions about this position

Is this position remote-friendly?

Yes, the position is fully remote with no restrictions on location, though the company has offices in London, Paris, Toronto, Ottawa, San Francisco, and New York.

What is the salary for this role?

This information is not specified in the job description.

What are the main responsibilities and skills needed for this Data Engineer role?

Key responsibilities include designing scalable data pipelines for ingesting, cleaning, filtering, and optimizing diverse datasets like web data, code data, multilingual corpora, and synthetic data; conducting data ablations and experimenting with data mixtures; and developing data modeling techniques for optimal training efficiency. Required skills involve data engineering, pipeline development, data quality assessment, and combining research with engineering.

What is the company culture like at Cohere?

Cohere obsesses over what they build, works hard and moves fast to serve customers, values a team of top experts in research, engineering, and design, and believes diverse perspectives are essential for great products.

What makes a strong candidate for this Pre-Training Data Engineer position?

Strong candidates are passionate about transforming data into AI foundations, skilled in end-to-end data management for language models, and able to combine research and engineering to improve model performance metrics like throughput and accelerator utilization.

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.

Land your dream remote job 3x faster with AI