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Reka AI Tech Stack

AI research lab building multimodal models for enterprise deployment

Technology, Information and Internet Sunnyvale 11–50 employees Privately Held

Reka AI is a 11–50 person research and product shop in Sunnyvale built on PyTorch, JAX, and CUDA—a deep learning stack optimized for training. The hiring mix is senior-heavy (4 of 6 active candidates) concentrated in engineering and product, suggesting a founder-led or early technical leadership structure focused on moving research into production. Active projects span training infrastructure, reinforcement learning, model serving, and go-to-market execution, indicating a transition from pure research toward commercializing frontier models for enterprise customers.

Tech Stack 11 technologies

Core StackPyTorch Figma Sketch Python C++ Kubernetes JAX Adobe XD CUDA Slurm Google DeepMind

What Reka AI Is Building

◆Challenges

Complex ml concepts
Training infrastructure inefficiency
Model serving scalability

▲Active Projects

Training infrastructure improvement
Reinforcement learning pipeline
Model serving scalability
Data annotation for ai models
Turning ai research into practical applications
Multimodal ai product development
Go-to-market strategy execution
Productionizing frontier ai models
Integrating models into customer stack

Hiring Activity

Minimal7 roles · 0 in 30d

Department

Engineering

3

Product

2

Data

1

Seniority

Senior

4

Mid

2

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About Reka AI

Reka AI develops multimodal AI models and infrastructure for enterprises. The company operates as a research-to-product pipeline: training large-scale models on in-house infrastructure (PyTorch, JAX, CUDA, Kubernetes, Slurm), annotating data to improve performance, and then productionizing those models for integration into customer systems. Headquartered in Sunnyvale with hiring in the United States and Singapore, Reka's internal focus includes reducing training infrastructure bottlenecks and model serving latency—both critical for scaling deployment of frontier models.

HeadquartersSunnyvale

Company Size11–50 employees

Hiring MarketsUnited States, Singapore

Frequently Asked Questions

What is Reka AI's tech stack?

Reka uses PyTorch, JAX, CUDA, and C++ for model training; Kubernetes and Slurm for infrastructure; Python for general development; and Figma, Sketch, and Adobe XD for design. The stack reflects a compute-intensive research organization.

What is Reka AI working on?

Core projects include training infrastructure improvement, reinforcement learning pipelines, model serving scalability, and multimodal AI product development—all aimed at turning research into practical customer applications.

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