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Build and deploy production-grade recommendation systems that match users with brands, using deep learning and PyTorch/TensorFlow to drive core business KPIs.
Builds and maintains real-time streaming and distributed systems to power ByteDance’s recommendation infrastructure at scale using Flink, Spark, and data lake tech.
A Machine Learning System Engineer working on large-scale multimodal recommendation systems and AI infrastructure at ByteDance, focusing on high-performance computing and distributed systems using PyTorch and other ML frameworks.
Responsibilities About the Team The Applied Machine Learning (AML) - Enterprise team provides machine learning platform products on VolcanoEngine with cloud native resource scheduling system which intelligently…
Chaos Labs is building a new AI platform for the enterprise, focused on how organizations operate and create value in an AI-native world. We’re bringing years of experience building applied AI and mission-critical…
A Senior Machine Learning Engineer at Roblox focuses on designing and implementing large-scale recommendation systems using deep learning, generative AI, and other advanced techniques to enhance user engagement and discovery on the platform.
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At…
Physicians make some of the biggest decisions of their careers with almost no trustworthy information: job posts, recruiter calls, and vague promises about culture. Tessellate is building something better: a…
Senior Data Analyst at AutoTrader.ca (part of AutoScout24) partnering with Product, Engineering, and Commercial teams to drive seller product performance through data. Day-to-day tasks include defining KPIs, building data models/ELT pipelines, analyzing seller metrics, delivering insights, and mentoring. Core technologies: SQL, Python, dbt, Airflow, BigQuery, Snowflake, and AI-assisted analytics t
Lead AI/ML strategy and build predictive and generative models for Canada’s largest auto marketplace, optimizing pricing, search, and personalization at scale.
GTM Staff Data Scientist at Snowflake provides technical leadership for AI & ML powered GTM decision systems, developing propensity models, causal inference, forecasting, and recommendation systems across sales and marketing while defining technical standards and integrating these systems into workflows.
Зарплата: 200000–280000 RUR (на руки) Мы аккредитованный системный интегратор, работаем с крупнейшими заказчиками по формату IT-аутстаффинга. Сейчас мы ищем опытных инженеров, которые смогли бы усилить проекты наших…
Vidmob is the creative data company. Its scoring software and analytics have become an essential ingredient in the creative and media decisions of the world’s largest marketers and agencies, as they strive to drive…
Research Engineer II position at ANGEL (Alibaba-NTU Global e-Sustainability CorpLab) developing AI-driven solutions for sustainable living and green recommendation systems, working with multimodal datasets and conducting research on sustainable digital technologies.
Research Engineer II at NTU's ANGEL CorpLab designing and developing AI-driven solutions for sustainable living, including green recommendation systems and multimodal data processing workflows.
Lead a team of engineers to build and optimize large-scale AI/ML recommendation, ranking, and prediction systems for YouTube, driving technical strategy and infrastructure.
Leads the evolution of Google Images’ visual discovery feed by blending AI research with production-scale personalization, optimizing quality, latency, and user relevance while collaborating cross-functionally to shape next-gen search experiences for billions.
About Appier Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of…
Senior Cloud Engineer building AI-ready data pipelines and services for Cisco Webex Contact Center using Java/Python, Kafka, Flink, Spark, and Iceberg.
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