Reka - Member of Technical Staff: Machine Learning Engineer
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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 multi-threading and memory management • Solid knowledge of ML architectures: CNNs, RNNs (LSTM/GRU), and Transformers • Experience building end-to-end ML deployment and inference systems, especially for low-latency, real-time applications • Experience handling large-scale data using tools like Spark • Experience deploying ML models in cloud environments (AWS preferred) • Experience with experiment tracking systems and ML workflows • Experience in low level optimisation, cuda etc. • Experience productionizing and scaling ML models in real-world systems • Contributions to open-source projects • Experience with MLOps tools or distributed training systems • Familiarity with relational databases (Postgres/MySQL)
Responsibilities
• 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 • Build low-latency, real-time inference systems and scalable ML infrastructure • 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 • Stay current with advancements in machine learning and apply them to continuously improve products
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