Staff Engineer, Search
FullscriptSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Information Retrieval, Search Engines, AI & Machine LearningIndustries
Requirements
Candidates should possess strong Python skills and experience building or maintaining API services, along with a foundation in distributed systems, search technologies, and cloud-native deployments. Experience building or maintaining search or recommendation systems using classical IR techniques and/or modern ML-based methods is preferred, as is comfort working with distributed systems and cloud deployments and adapting to DevOps quirks.
Responsibilities
As a Senior Software Engineer, you will integrate state-of-the-art models into retrieval products in collaboration with Machine Learning Engineers and Research Scientists, design and maintain document ingestion pipelines, extend Kubernetes manifests, Helm charts, and Terraform configs for scalable deployments, and experiment with different indexing and nearest neighbor search strategies in OpenSearch. You will also be responsible for communicating with internal stakeholders and external customers to solve their search problems.
Skills
Python
API development
search systems
recommendation systems
classical IR techniques
ML-based methods
distributed systems
cloud deployments
performance optimization
communication
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