Senior Platform Engineer, Machine Learning
Fieldguide188,000 - 213,500 USD/year
- Full Time
- Senior (5 to 8 years), Mid-level (3 to 4 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries
Requirements
Candidates must have at least 2 years of industry experience in Machine Learning or data science-related systems. The ability to be available for meetings and impromptu communication during Quora's coordination hours (Monday to Friday, 9am-3pm Pacific Time) is required.
Responsibilities
The Senior Software Engineer will architect, build, and maintain large scale distributed systems to support the ML development workflow, including data collection, training, deployment, and real-time serving. They will develop services using open source technologies like Kubernetes, Tensorflow, and PyTorch, own business-critical infrastructure, help resolve production issues, and participate in the team-wide on-call rotation. Collaboration with ML engineers to enhance their impact on the platform is also essential.
Skills
Kubernetes
TensorFlow
PyTorch
Machine Learning
Data Science
Distributed Systems
Data Collection
Training
Deployment
Realtime Serving
Quora
Global knowledge sharing and AI integration platform
About Quora
Quora is a global platform for knowledge sharing that attracts over 400 million unique visitors each month. It allows users to share insights on a wide variety of topics, creating a community focused on learning and connection. Users include individuals looking for information, experts sharing their knowledge, and businesses engaging with a knowledgeable audience. Quora also features Poe, a platform that combines several AI language models like GPT-4 and DALL-E 3, enabling users to chat and explore these technologies in one place. Unlike many competitors, Quora's business model relies on targeted advertising to its large user base, allowing it to continuously expand its offerings to meet user needs.
Key Metrics
Mountain View, CaliforniaHeadquarters
2009Year Founded
$351.2MTotal Funding
LATE_VCCompany Stage
Consumer Software, AI & Machine Learning, EducationIndustries
1,001-5,000Employees