Senior Solutions Architect - AI Infrastructure Engineer
NVIDIASalary not specified
- Full Time
- Senior (5 to 8 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
Position Overview
- Location Type: Remote
- Employment Type: Full-Time
- Salary: Not specified
- Brief Description: Cohere is seeking a Software Engineer with ML experience to support the scaling of their LLM Agent frameworks. This role involves designing and implementing environments for evaluating state-of-the-art models, supporting sampling millions of trajectories, and contributing to the development of production-ready code.
Requirements
- Strong Software Engineering Skills: Proficiency in writing high-performant and scalable code.
- HPC Experience: Experience working in High-Performance Computing (HPC) environments.
- Auto-Scaling Experience: Familiarity with auto-scaling techniques.
- Container Orchestration: Experience with container orchestration platforms (e.g., Docker, Kubernetes).
- Distributed Training: Experience using large-scale distributed training strategies.
- ML Knowledge: Familiarity with autoregressive sequence models, such as Transformers.
- Bonus: Experience with paper publications at top-tier AI conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CoLM, MLSys).
Responsibilities
- Design and Write Code: Design and write high-performant and scalable code.
- Implement Research Ideas: Read latest papers and implement relevant ideas.
- Experimentation: Research, implement, and experiment with ideas on the company's super compute and data infrastructure.
- Infrastructure Support: Contribute to learning from and working with the best researchers in the field.
- Trajectory Sampling: Support sampling millions of trajectories for synthetic data creation.
- Environment Development: Design and implement novel environments that scale gracefully.
Application Instructions
- Not specified.
Company Information
- Mission: To scale intelligence to serve humanity.
- Focus: Training and deploying frontier models for developers and enterprises in areas like content generation, semantic search, RAG, and agents.
- Culture: Obsessive about building, responsible for contributing to increasing model capabilities, fast-paced, and customer-focused.
- Team: A team of researchers, engineers, designers, and more, with a diverse range of perspectives.
- Compute & Data: Offers one of the highest compute-to-engineers ratios in the world, with ample compute, data, and talent.
- Locations: Offices in London, Toronto, San Francisco, and New York, with a remote-friendly approach. Primarily based in GMT or CET timezones.
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.
Toronto, CanadaHeadquarters
2019Year Founded
$914.4MTotal Funding
SERIES_DCompany Stage
AI & Machine LearningIndustries
501-1,000Employees