
Member of Technical Staff (Data Intelligence)
About this role
Role Overview
Reka is seeking a Member of Technical Staff for Data Intelligence to join its globally distributed team on a full-time, remote basis across the US, UK, Singapore, and remote locations. This position suits an experienced professional with a strong background in machine learning and deep learning who wants to build reliable, petabyte-scale data infrastructure for multimodal artificial intelligence.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Reka is a foundation model startup headquartered in the San Francisco Bay Area, California, operating with a remote-first philosophy and a globally distributed workforce. The founding team and staff feature leading experts who have shaped major artificial intelligence breakthroughs over the past decade. The company focuses on developing useful multimodal AI to empower organizations and businesses globally within an inclusive, collaborative, and mission-driven culture.
How to Apply
Interested candidates should visit the official Reka careers page to submit an application for this role.
Skills and tech stack
Questions candidates ask
Is this position fully remote?
Yes, this role supports a remote-first approach with availability across the US, UK, Singapore, and remote locations.
What core technical skills are required?
Candidates need strong Python programming skills, deep learning fundamentals, familiarity with PyTorch, and practical experience with distributed processing and orchestration tools like Spark and Airflow.
Does Reka offer visa sponsorship for this job?
Yes, Reka provides visa assistance and support, including H1B and OPT transfers for US-based employees.
What benefits are provided to employees?
Employees receive comprehensive healthcare including vision and dental, five weeks of paid leave, and additional well-being perks.
Where is Reka headquartered?
Reka is headquartered in the San Francisco Bay Area, California, though it operates with a globally distributed, remote-first team.