Staff Engineer, Search
FullscriptSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Search TechnologyIndustries
Requirements
Candidates should have proficiency in Python and related ML frameworks such as PyTorch, Tensorflow, TF-Serving, JAX, and XLA/MLIR, along with familiarity with training and using various information retrieval models. Experience leveraging Large Language Models as part of training data or evaluation pipelines is preferred, and strong communication and problem-solving skills are required. Bonus points include experience building training and/or evaluation datasets for practical use cases, proficiency in other programming languages such as C++ or Golang, and experience using large-scale distributed training strategies with GPUs.
Responsibilities
As a Member of Technical Staff, you will design, train, and improve upon cutting-edge search models, gather high-quality retrieval datasets and optimize data pipelines for model training and evaluation, work closely with the model serving team to ensure inference is fast and stable, collaborate with product teams to develop solutions, engage in research collaborations with partner organizations and academic affiliations, and publish research in top-tier conferences and journals. You will also contribute to revolutionizing people's search experience by building an intelligent, efficient, and precise search system and try new things out, innovate, and productionize ideas.
Skills
Information Retrieval
Semantic Search
Model Training
Embedding Models
Reranker Models
Search Infrastructure
AI Technologies
Collaboration
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