Member of Technical Staff
About The Position
We're a high-energy, impact-driven team , with a long track record of academic excellence. Our team includes researchers whose work has shaped the field—earning best paper awards at top AI conferences and even ranking among the most cited scientists in history of science . We've built fundamental, transformative research that has redefined the community, and now, we're here to change the world—one breakthrough at a time. What We're Looking For & Why Join Us We seek a self-driven engineer or researcher passionate about advancing and applying cutting-edge AI products. You'll help bring our advanced AI systems to millions of users worldwide. This is your chance to be at the forefront of AI's next big leap. At Vercept, every team member is core to shaping our future and pushing technology to its next 100x impact. What is this role? As a Member of Technical Staff at Vercept , you'll have the flexibility to shape your role based on your interests and strengths. Whether you want to specialize deeply in one area or work across multiple domains, you'll: This is a very flexible role, and you'll be able to shape your role based on your interests and strengths Contribute to projects spanning research, ML infrastructure and engineering, data systems, or production deployment Choose to specialize in areas like model research and development, distributed systems, or full-stack development Work at the intersection of research and engineering to bring AI systems to life
Requirements
- Strong fundamentals in either software engineering or applied research—we value depth over specific tech stacks
- Ability to pick up new technologies quickly and adapt as our needs evolve
- Experience in any of: distributed systems, ML infrastructure, model training, full-stack development, or data engineering
- Track record of taking ownership and driving technical projects or research initiatives to completion
- Strong Interest in AI/ML systems
Responsibilities
- Contribute to projects spanning research, ML infrastructure and engineering, data systems, or production deployment
- Choose to specialize in areas like model research and development, distributed systems, or full-stack development
- Work at the intersection of research and engineering to bring AI systems to life
Benefits
- health benefits
- a 401(k) plan
- meaningful equity
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1-10 employees
