Description
About the Position:
The Database engineering team is based in the Bay Area, Toronto and India. The team has the DNA of building highly scalable, mission critical enterprise products. As part of building our team in India, we are looking for an AI Research Engineer with a passion for advancing the intersection of machine learning and database systems and improving operational efficiency of the Salesforce database.
Salesforce is expanding its India operations and seeking to recruit an AI Research Engineer. The responsibilities of this position encompass the application of machine learning techniques to optimize the efficiency of the Salesforce database and to enhance the database system infrastructure and operational efficiency. It is desired that the selected candidate possesses a strong interest in the integration of artificial intelligence with database technology. This role focuses on developing innovative AI-based solutions across multiple database areas, including but not limited to:
Root Cause Analysis (RCA) from logs and telemetry
Log summarization and anomaly detection
Query optimization and cost modeling
Execution plan prediction and tuning
Semantic understanding of user queries and workload forecasting
Salesforce has a large fleet of database instances running in the cloud and generates a huge amount of telemetry and logs which can be leveraged to solve these problem statements. You’ll work on integrating LLMs and ML models with the Salesforce database engine to improve operational efficiency as well as help improve the database engineer itself to make it more adaptive, self-healing, and intelligent.
As a PMTS/Architect you will be responsible for:
Drive the roadmap, design and delivery of medium complex features independently
Be an SME in your area of work,work with other database architects to arrive at solutions that can be productized
Own the design decisions and ensure Quality and Security standards are met.
Contribute to analysis, design, test and code reviews of own and related areas across different scrum teams
Setting and improving engineering best practices/processes on relevant tooling, instrumentation, telemetry and playbook.
Designing and coding the features for high quality.
Timely resolution of Customer issues with utmost urgency and adhering to customer trust
Requirements:
Experience with open-source DBMS (PostgreSQL, MySQL) or commercial engines.
Experience in reinforcement learning, LLMs, building knowledge graphs, autoML
Exposure to observability platforms (Splunk).
Background in systems research with published work in SIGMOD, VLDB, NeurIPS, ICDE, OSDI, or similar venues.
Track record of delivering innovative and complex features for a major software system
Excellent communication skills and problem-solving skills
Experience working with a group of developers in a high-pace high-demand environment
Experience in Agile development