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ML Engineer, Infrastructure
Build and scale multi-cluster GPU infrastructure for training tabular foundation models, optimizing cost and throughput while owning Slurm clusters, scheduling, and distributed training performance.
Full Stack Engineer, AI systems
Builds and operates backend systems that power AI-driven workflows, focusing on inference pipelines, orchestration, and production reliability for a proactive smart assistant.
FullStack Member of Technical Staff II
Senior full-stack engineer building AI-powered systems for cloud and edge devices, integrating computer vision, NLP, and multimodal models into production-ready solutions for mission-critical applications.
AI Engineer
Design, train, and deploy ML models and data pipelines using PyTorch/TensorFlow and MLOps tools in a full lifecycle workflow.
Senior Machine Learning Engineer
Build and deploy ML models for edge and bare-metal devices, focusing on sensor fusion (audio, video, radio) to detect drones in production environments using Python, PyTorch/TensorFlow, and cloud/AWS/GCP.
Senior and/or Principal Software Engineer - AI Frameworks
Build and optimize AI frameworks, compilers, and runtimes to run large language models efficiently at cloud scale, profiling and benchmarking across GPUs and Microsoft silicon.
Senior Staff Software Engineer, GKE AI Data
Builds and shapes Google Kubernetes Engine’s storage layer for AI/ML workloads, designing scalable solutions for training, inference, and agentic workflows while driving upstream Kubernetes standards.
[ML Application] ML Engineer (Computer Vision)
Build and deploy computer-vision models for factory inspection lines, tuning cameras and lighting, training detectors, and running real-time inference on edge devices.
Data Scientist (NLP / LLM) в команду СберБизнес
Builds NLP/LLM systems for SberBank’s B2B products: trains and deploys LLMs, creates RAG agents and recommender engines, and runs A/B tests to personalize offers and improve customer experience.
Member of Technical Staff, Machine Learning
Build and deploy core ML components for an AI-native assistant that automates daily tasks with high reliability and low latency using Python, PyTorch/JAX, and GPU-based production systems.
Senior Machine Learning Engineer
Builds and owns end-to-end ML systems for a proactive AI assistant, focusing on long-running workflows, reliability, and real-world task completion using PyTorch/JAX and GPU infrastructure.
Backend Engineer, AI (Agent Systems)
Build and run backend systems that orchestrate AI models into fast, reliable APIs for a proactive smart assistant, handling inference pipelines and production reliability.
Full Stack Engineer, AI systems
Build AI-native workflows that handle multi-step tasks, integrate LLMs with tools, and ensure reliable, real-time interactions for a proactive smart assistant.
Applied AI Engineer
Build and ship AI-powered features end-to-end, turning model capabilities into reliable, real-world user experiences using Python, LLMs, and vector databases.
Member of Technical Staff, Research
Research and develop cutting-edge LLMs and multimodal AI systems, optimizing model efficiency and scalability for production deployment.
