Senior ML Researcher, Applied Machine Learning
Red Cell PartnersSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries
Requirements
Candidates should have at least 3 years of experience in model training, deployment, and maintenance in a production environment. Strong skills in natural language processing (NLP) and deep learning are required, along with experience scaling products at a hyper-growth startup. Excellent written and verbal communication skills are essential, and the ability and willingness to travel up to 25% to client sites is necessary.
Responsibilities
The Member of Technical Staff will own and build large new areas within the product. They will work across backend, frontend, and customize Large Language Models. The role involves experimenting at a high velocity and level of quality to engage customers and deliver solutions that exceed expectations. Additionally, they will work across the entire product lifecycle from conceptualization through production.
Skills
NLP
Deep Learning
Python
SpaCy
HuggingFace
NLTK
Fine-tuning
RLHF
Information Retrieval
LLM performance
Model training
Model deployment
Production environment
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.
Toronto, CanadaHeadquarters
2019Year Founded
$914.4MTotal Funding
SERIES_DCompany Stage
AI & Machine LearningIndustries
501-1,000Employees