{"id":1728886,"url":"https://alion.io/job/nvidia-senior-deep-learning-scientist-multimodal-agentic-rl-2","title":"Senior Deep Learning Scientist, Multimodal Agentic RL","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":458,"ghost_share":0.013,"stale_share":0.504,"repost_share":0.033,"time_to_fill_p50_days":28,"computed_at":"2026-10-14T06:34:16Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":152000,"max":241500,"currency":"USD","period":"year","gross":null,"usd_annual":241500},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":true},{"name":"Embodied AI","optional":true},{"name":"LLM","optional":true},{"name":"Machine Learning","optional":true},{"name":"Mixture of Experts","optional":true},{"name":"Multimodal AI","optional":true},{"name":"Post-training","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"RLHF","optional":true},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-10-02T23:07:18Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-14T20:04:42Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"NVIDIA is widely regarded as one of the technology industry’s most desirable employers. We lead the way in High-Performance Computing, Artificial Intelligence, and Visualization. Our core invention, the GPU, serves as the visual cortex of modern computers and powers our entire product suite. GPU deep learning ignited the modern AI era-the next great computing age-with the GPU acting as the brain for everything from robots and autonomous cars to conversational AI. Today, we are known globally as \"the AI computing company.\" We are looking to grow our teams by bringing in the smartest people in the world. Join us at the forefront of technological advancement.\nNVIDIA is hiring Senior Deep Learning Scientists to advance our efforts in streaming and agentic multimodal AI. You will demonstrate foundational expertise in deep learning, reinforcement learning, and applied mathematics to help develop models capable of reasoning, planning, and acting across diverse modalities. This is a chance to define core algorithmic improvements for multimodal foundation models, scaling your ideas through our Nemotron Omni and VoiceChat platforms. You will work on high-impact, high-visibility large language models and multimodal AI products that improve the experience for millions of users. If you are creative and passionate about solving real-world agentic AI challenges, come join our Nemotron LLM team. For more details on Nemotron LLM, check https://www.nvidia.com/en-us/ai-data-science/foundation-models/nemotron/\nWhat you’ll be doing:\nApply fundamental and applied research to develop, train, fine-tune, and deploy large language models for agentic systems encompassing audio-visual reasoning, tool usage, and document understanding.\nAdvance post-training and alignment methods including instruction tuning, preference optimization, and RLHF/RLVR/MOPD to improve multimodal agents for complex use cases.\nResearch and develop agentic reasoning and grounded perception capabilities, focusing on planning, tool execution, and long-horizon task completion across digital and physical environments.\nLead the collection, development, and benchmarking of multimodal datasets, ensuring high-quality evaluation of model accuracy, safety, and task completion success.\nWhat we need to see:\nMaster’s degree (or equivalent experience) or PhD in Computer Science, AI, or Applied Math with 5+ years of relevant work experience.\nExcellent programming skills in Python with strong fundamentals in scalable model development and deep learning frameworks like PyTorch.\nStrong knowledge of ML/DL techniques and modern foundation model architectures, including Transformers and mixture-of-experts models.\nFoundational understanding of reinforcement learning algorithms and implementation, including MDPs, policies, and reward design.\nHands-on experience in post-training multimodal models for omni-modality (audio-visual) reasoning, full-duplex voice chat, and human-AI interaction.\nProven ability to manage model development life cycles, including dataset versioning, experiment tracking, and evaluation pipelines.\nWays to stand out from the crowd:\nStrong record of publications in top-tier AI and machine learning venues such as NeurIPS, ICML, ICLR, or CVPR.\nValidated experience training and deploying multimodal foundation models using large-scale distributed infrastructure.\nExperience applying deep reinforcement learning techniques to train multimodal agents in complex simulation or gaming environments.\nBackground in audio/speech AI, especially audio language models or audio generation.\nBackground in building embodied AI systems that integrate multimodal perception with backend action-fulfillment and long-horizon planning.\nWith highly competitive salaries and a comprehensive benefits package, NVIDIA is considered one of the industry’s most desirable employers. As you plan your future, see what we can offer you and your family at www.nvidiabenefits.com/. If you are a creative and autonomous engineer with a genuine passion for state-of-the-art technology, we want to hear from you!\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until October 6, 2026.This posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. 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