Reka AI builds natively multimodal models (Spark, Edge, Flash, Core) for video, image, audio, and text. Used by enterprises in security, media, and defense.
About the role
Join us at an exciting moment, wear many hats and help us build something from the ground up! Generous Benefits : Enjoy 5 weeks of paid leave to recharge, comprehensive healthcare benefits including vision and dental, and additional perks that support your well-being.
What they're looking for
- Experience with training and evaluating large deep learning models
- Proficiency in standard deep learning frameworks (e.g. PyTorch, JAX)
- Proven track record of applying and implementing machine learning algorithms into software applications at scale
- The ability to build in a fast-paced environment under some uncertainty
- A kind and collaborative nature and work style
More about this role
Contribute to the entire development cycle of our cutting-edge large deep learning models.
Prepare datasets, design architectures, implement solutions, train and evaluate models to improve our products.
Collaborate closely with engineers and researchers to translate cutting-edge research into practical applications.
Join us at an exciting moment, wear many hats and help us build something from the ground up!
Experience with training and evaluating large deep learning models.
Proficiency in standard deep learning frameworks (e.g. PyTorch, JAX).
Proven track record of applying and implementing machine learning algorithms into software applications at scale.
The ability to build in a fast-paced environment under some uncertainty.
A kind and collaborative nature and work style.
Reka's mission is to build useful multimodal artificial intelligence and use it to empower organisations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to many of the...
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