Director of AI
CerenceSalary not specified
- Full Time
- Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Consumer SoftwareIndustries
Requirements
Candidates must possess a Bachelor’s Degree in Computer Science, Machine Learning, or a related field. A minimum of 3 years of experience in a senior management role within the AI industry is required, along with at least 5 years of experience in Machine Learning research, software design, and development. Advanced knowledge of AI and Machine Learning techniques, including deep learning, reinforcement learning, and self-supervised learning, is essential. Strong expertise in NLP techniques such as language representation models, dialogue systems, information retrieval, and information extraction is necessary. Proficiency in industry-standard Large Language Models and frameworks like TensorFlow or PyTorch is required, as well as experience with AWS and Google Cloud computing platforms.
Responsibilities
The Director of Engineering will determine the strategic direction for AI research and product development and lead customer engagement initiatives. They will work with the executive team to prioritize investments and oversee all AI research operations involving NLP. The role includes defining a technical roadmap for AI product development, analyzing competitive landscapes, and leading cross-functional teams to ensure market alignment. Responsibilities also include managing AI product development schedules, representing the organization at conferences, providing leadership to the development team, and overseeing recruitment and training.
Skills
Natural Language Processing
NLP
AI Research
Product Development
Technical Roadmap
Customer Engagement
Deep Learning
Strategic Direction
Leadership
Team Management
Data Analysis
Project Management
Conference Speaking
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