Staff Software Engineer, AI
HackerOne170,000 - 211,000 USD/year
- Full Time
- Expert & Leadership (9+ years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise Software, Data & AnalyticsIndustries
Requirements
Candidates should possess extremely strong software engineering skills and experience in high-performance computing (HPC) environments with auto-scaling capabilities. Familiarity with container orchestration platforms such as Docker and Kubernetes is necessary, as well as experience in large-scale distributed training strategies. A strong intrinsic motivation to build better tooling and a pragmatic approach to balancing project requirements with quality are essential. Familiarity with autoregressive sequence models, particularly Transformers, is also required. A bonus includes having published papers at top-tier venues like NeurIPS, ICML, or ACL.
Responsibilities
As a Member of Technical Staff, you will design and write high-performance and scalable code to facilitate fast training and sampling. You will read the latest research papers, implement relevant ideas, and conduct experiments. Additionally, you will research, implement, and experiment with ideas on the company's super compute and data infrastructure while collaborating with leading researchers in the field.
Skills
High-Performance Computing
Auto-Scaling
Docker
Kubernetes
Distributed Training
Transformers
Software Engineering
Scalable Code
Trajectory Sampling
Environment Development
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