Discover jobs tagged with bandit-algorithms, a curated list of machine learning, data science, and research roles that apply multi-armed bandit and contextual bandit methods for personalization, A/B testing, ad optimization, and online learning; use the filtering UI to narrow results by role (ML engineer, data scientist, research scientist), seniority, remote/location, tech stack (Python, TensorFlow, PyTorch) and industry to find positions requiring Thompson Sampling, UCB, epsilon-greedy or policy-gradient approaches. Each listing highlights required skills, sample projects, and implementation examples so you can evaluate fit quickly—apply now, save searches, or set alerts to capture new bandit-algorithms jobs that match your expertise and advance your career in reinforcement learning and online experimentation.
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