Principal AI Engineer - Servicing Solutions
GoodleapSalary not specified
- 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 LearningIndustries
Requirements
Candidates should possess extremely strong software engineering skills and proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR. They should have deep experience in building and leading a product-centric organization, direct experience in building Large Language Models, and a strong track record of creating and curating large-scale datasets. Familiarity with autoregressive sequence models, such as Transformers, and experience using large-scale distributed training strategies are also required. Additionally, candidates should have the ability to collaborate effectively with human annotators and cross-functional teams and should have published papers at top-tier venues like NeurIPS, ICML, or AAAI.
Responsibilities
As a Member of Technical Staff, you will join a diverse team of engineers to design, build, and scale AI systems for enterprise products. You will work on North, driving agent development in RAG, tool use, and language agents. The role involves researching and experimenting with novel ideas on advanced infrastructure, collaborating with researchers and engineers to evaluate data for post-training LLMs, and engaging with the latest AI and deep learning research. You will leverage product data to identify improvement areas and work closely with leadership to align product vision with business objectives.
Skills
Python
Tensorflow
TF-Serving
JAX
XLA
MLIR
Software Engineering
Deep Learning
AI Systems
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