Principal Machine Learning Architect
SiftSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries
Requirements
Candidates should have over 10 years of experience building large-scale AI/ML systems and proven leadership as a Principal Engineer focused on ML developer tools and platforms. A strong passion for AI/ML infrastructure and applications of LLMs is essential, along with a deep appreciation for building end-to-end customer-facing products. Experience working with cross-functional teams, research teams, and product managers is required. Strong computer science fundamentals, including proficiency with data structures, algorithms, and distributed systems, are necessary, with fluency in Python or Java preferred. Familiarity or expertise with machine learning and deep learning frameworks like Pytorch and XGBoost is also required. A BS, MS, or PhD in Computer Science or related majors is mandatory.
Responsibilities
The Principal Software Engineer will build customer-facing AI-based services and platforms for machine learning. They will design and implement highly scalable distributed platforms within the global Snowflake platform and participate in decision-making processes on technical or business issues. Collaboration with engineers across teams to deliver cross-functional initiatives is expected, along with ensuring operational readiness of the services and meeting commitments to customers regarding reliability, availability, and performance.
Skills
Python
Pytorch
XGBoost
Data Structures
Algorithms
Distributed Systems
Machine Learning
Deep Learning
Java
Product Development
Snowflake
Data management and analytics platform
About Snowflake
Snowflake provides a platform called the AI Data Cloud that helps organizations manage and analyze their data. This platform allows users to store and process large amounts of data efficiently, offering services like data warehousing, data lakes, data engineering, data science, and data sharing. Snowflake's system works by uniting data from different sources, enabling secure sharing and performing various types of analytics. What sets Snowflake apart from its competitors is its ability to operate seamlessly across multiple public clouds, allowing users to access their data from anywhere. The company's goal is to help businesses leverage their data for better decision-making by providing a flexible subscription-based service that scales according to their needs.
Key Metrics
Bellevue, WashingtonHeadquarters
2012Year Founded
$1,341.3MTotal Funding
IPOCompany Stage
Data & Analytics, Enterprise Software, AI & Machine LearningIndustries
5,001-10,000Employees