Forschung Praktika in San Jose, USA
“Successful candidates are expected to work with the team for at least 12 weeks during the internship Responsib...
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“- Work with infrastructure teams on improving the efficiency and stability of machine learning systems...
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“Responsibilities: - Conducting development and research on cutting-edge CV, NLP, multi-modality, LLM, generati...
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“Explore the application of LLM in our business scenarios, like pre-training, zero-shot/ few-shot learning, har...
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“Responsibilities: - Work with large and complex data sets to solve a wide array of challenging problems using ...
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“- Be responsible for product success from end-to-end, including ideation, design, build, test, launch, and mea...
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“Responsibilities: - Define success metrics to measure product growth and identify problems through monitoring ...
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“Responsibilities: - Define success metrics to measure product growth and identify problems through monitoring ...
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“Responsible for (COMPANY NAME) Search scale and user awareness growth. ...
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“- Learn to collaborate with cross-functional teams (such as recommendation algorithm, Trust & Safety, and R&D)...
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“Please state your availability clearly in your resume (Start date, End date). ...
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“It runs for 12 weeks beginning in 2026 . Candidates can apply to a maximum of two positions and will be consid...
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“- Responsible for GPU and CUDA Performance optimization to create an industry-leading high-performance LLM tra...
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“- Explore planning, tool use, and feedback mechanisms to enhance agent robustness and adaptability across doma...
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“Responsibilities - Explore methodologies for evaluating personalized evolving agents. ...
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“Responsibilities: - Develop foundation models for nature science, such as protein structure prediction, molecu...
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“- Address challenges of long-horizon, multi-turn tasks in reinforcement learning...
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“- Conduct in-depth research for cutting-edge technologies in the fields of large language models/MultiModal Ma...
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“Responsibilities: - Carry out interdisciplinary research in quantum computational chemistry (such as Post Hart...
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“- Explore data-centric machine learning methods, including synthetic data generation, dataset pruning, and act...
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“Responsibilities: - Building a next-generation big model as a service platform to serve hundreds of LLMs based...
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“3. Drive advancements in LLM-based agents using reinforcement learning to enable autonomous reasoning, plannin...
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“- Analyze complex data to uncover user preferences, behaviors, and trends, driving personalization and enhanci...
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“Please state your availability clearly in your resume (Start date, End date). ...
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“Our dynamic internship experience blends hands-on learning, enriching community-building and development event...
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“- Define and implement service-oriented, containerized architectures (Kubernetes, VM frameworks, unikernels) o...
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“Scaffolded Settings & Agents: Probe new failure modes and pitfalls in scaffolded environments (agents, workflo...
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“- Research scalable methods for learning from pairwise comparisons, rankings, or human demonstrations across d...
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“Summer Start Dates: - May 11th, 2026 - May 18th, 2026 - May 26th, 2026 - June 8th, 2026 - June 22nd, 2026 Resp...
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“- Develop training strategies that reliably produce high-quality asynchronous and proactive behavior...
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“Research, implement and evaluate novel machine learning algorithms on generative models; 3. ...
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“- Responsible for the development of state-of-the-art applied machine learning projects. ...
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“-Work with academia and open source communities on joint development. ...
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“Through collaboration and ongoing learning, your work will help identify business and research opportunities, ...
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“- Evaluate model performance on tasks requiring high-level reasoning or detailed semantic control over generat...
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“- Build benchmarks and analysis tools to measure dynamics understanding and causal consistency...
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“- Design and prototype novel architectures that balance modeling performance, generalization, and efficiency. ...
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“We're looking forward to deep technical conversations with you...
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“- Contribute to system-level improvements in data curation, model optimization, and evaluation pipelines...
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“- Design evaluation protocols for long video quality (e.g., realism, consistency, semantic continuity)...
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