Member of Technical Staff – Machine Learning Engineer

🕒 June 11

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Reka AI

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2022

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $58M Series A on 2023-06

Artificial Intelligence • Enterprise • SaaS

Reka AI is a company specializing in the development of cutting-edge multimodal AI models. These models are designed to empower AI agents with the ability to see, hear, and speak, facilitating a range of applications from text and code to images, video, and audio data. Reka's proprietary models, including Reka Core, Flash, Edge, and Spark, are created from scratch with innovative architectures that allow for deployment on devices, on premises, or in the cloud. Known for advancing the field of AI research, Reka AI collaborates with global technology partners to expand access to its advanced multimodal AI capabilities.

📋 Description

• Translate cutting-edge research into production-ready machine learning systems • Design, build, and deploy end-to-end ML models and pipelines • Develop and optimize models for image and video processing • Own the full ML lifecycle: experimentation, training/fine-tuning, evaluation, and deployment • Rapidly prototype using open-source models and adapt them for product needs • Conduct experiments, analyze results, and iterate to improve performance • Collaborate with researchers and cross-functional teams (product, engineering, design) to deliver ML solutions at scale • Participate with advancements in machine learning and apply them to continuously improve products

🎯 Requirements

• MS/PhD in Computer Science, Electrical Engineering, or related field • Strong research experience with familiarity in top conferences (e.g., CVPR, ICCV, NeurIPS) • 5+ years of experience in Python and proficiency in Java, C++, or Scala • Strong understanding of diffusion models • Strong understanding of multi-threading and memory management • Solid knowledge of ML architectures: CNNs and Transformers • Experience with PyTorch or TensorFlow • Experience building end-to-end ML deployment and inference systems, especially for low-latency, real-time applications • Experience deploying ML models in cloud environments (AWS preferred) • Experience with experiment tracking systems and ML workflows

🏖️ Benefits

• 5 weeks of paid leave to recharge • comprehensive healthcare benefits including vision and dental • additional perks that support your well-being • visa assistance, including H1B and OPT transfers