Principal Engineer - Applied Science
at Cisco Systems
San Jose, California, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 02 Sep, 2024 | Not Specified | 02 Jun, 2024 | 7 year(s) or above | Production Deployment,Software Engineers,Software Development,Computer Science,Platforms,Conferences,Natural Language Processing,Data Science,Scientists,Machine Learning,Cs,Product Management,Models,Engineers,Research,Design,Publications,Ml | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
MINIMUM QUALIFICATIONS
- PhD degree and 7+ years, or Master’s degree and 10+ years in CS, CE, ML, or related fields
- Experience developing and delivering models for enterprise class products
- 7+ years of experience in Java, C++, Python (or related languages)
- Experience using deep learning frameworks to develop, implement, and optimize GenAI technologies, including training, fine-tuning and computation optimizations.
- Hands-on experience in natural language processing, computer vision, or multimodal interaction
- Experience designing and building PoCs and production deployments with GenAI and data science technologies
PREFERRED QUALIFICATIONS
- Experience partnering with product management to provide consolidated learnings to improve their products and platforms
- Practical experience in system design, software development, and production deployment
- Excel in transforming ambiguous requirements into actionable plans with deep learning techniques for problem-solving
- Familiarity with the latest advancements in computer vision and multimodal modeling such as CLIP, DALL-E2, and diffusion models
- Publications in top-tier deep learning conferences or significant contributions to prominent deep learning repositories
- Top-tier performance in prestigious deep learning leaderboards or large model-related competitions
- Having an impressive set of GitHub projects or contributions to open-source technologies
- PhD in machine learning, data science, engineering, computer science, mathematics, statistics, or highly quantitative field
Responsibilities:
Please refer the Job description for details
REQUIREMENT SUMMARY
Min:7.0Max:10.0 year(s)
Information Technology/IT
Software Engineering
Graduate
Cs ce ml or related fields
Proficient
1
San Jose, CA, USA