科技職缺
職缺列表
Data Scientist в команду Horizontal ML Technologies
Build and ship OCR and computer vision ML solutions for Avito's marketplace platform, including document recognition pipelines, VLM-based services, and high-load production deployment. Stack: Python, PyTorch, OpenCV, transformer/CNN architectures.
Staff Software Engineer, Google One, Subs Platform
Staff Software Engineer on the Google One Subscriptions Platform in Bengaluru, providing technical leadership on large-scale subscriber-facing software (cloud storage and AI features, 150M+ users) using C++, Java, Python, Kotlin, or Go, with hands-on integration of generative AI / LLM tools.
Software Engineer III, Storage Infrastructure
Design, develop, and improve large-scale production storage infrastructure software at Google Cloud. Day-to-day work involves C++ development, code and design reviews, and debugging distributed systems issues across storage, networking, and compute technologies.
Data scientist / ML-инженер
Data scientist / ML engineer at IBS building NLP services and AI assistants based on generative LLMs (BERT, Qwen, GPT). Day-to-day work spans RAG pipelines, LLM fine-tuning (SFT/LoRA/RLHF), and deploying ML services with Docker/Kubernetes, GitLab/Jenkins CI/CD, and Prometheus/Grafana monitoring.
Machine Learning Engineer Intern, Data Trust & Safety (Australia) - 2026 Start
ML engineering internship at TikTok building content safety and trust & safety systems, including computer vision models, data mining algorithms, and scalable machine learning classifiers.
Middle AI/ML Engineer (#5128)
Middle AI/ML Engineer building AI-driven solutions within the Palantir Foundry and AIP ecosystem. Day-to-day work centers on developing ML and LLM-based solutions using Python, integrating them into Foundry workflows to support analytics, automation, and decision-making for enterprise use cases.
Senior Data Scientist / AI Researcher
Senior data scientist building a multi-agent monitoring platform for AI agents in production at Sberbank. Develops LLM-as-a-Judge evaluators and classical ML models for anomaly detection, degradation forecasting, and root-cause analysis using Python ML and observability stacks.
AI/ML-инженер
AI/ML engineer at an insurance company building LLM-powered services: developing RAG pipelines (embeddings, retrieval, reranking), agentic LLM workflows with function calling and structured output, containerizing services, and integrating models via REST APIs. Core stack: Python, Hugging Face, Docker, SQL.
Senior Software Engineering Manager, YouTube Channel Memberships
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major…