{"id":812491,"url":"https://alion.io/job/mavenrobotics-robotic-ai-engineerapplied-scientist-foundation-models","title":"Robotics AI Research Engineer","company":{"id":678672,"name":"Maven Robotics","domain":"mavenrobotics.ai","url":"https://alion.io/company/mavenrobotics","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":95,"open_postings":13,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":546,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Robotics","role_family":"Robotics","seniority":null,"employment_type":null,"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":null,"salary_estimate":{"min_usd":125000,"max_usd":301000,"period":"year","method":"role_country_seniority_unknown","sample_n":590},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Vision-Language-Action","optional":false},{"name":"World Models","optional":false}],"status":"live","first_seen_at":"2025-01-09T19:32:44Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-11-02T09:56:28Z","board_verified":true,"closed_at":null,"days_open":661,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":661},"description":"About Maven\nMaven Robotics designs, builds, and deploys intelligent robotics for logistics and manufacturing. Maven is building the first general-purpose robotics system for industrial work. Our mission is to activate autonomous labor at scale and build toward infinitely elastic industrial capacity. We’re a team of engineers, researchers, and operators who have spent our careers working on the hardest problems in AI, robotics, engineering, and autonomous systems. We work at the intersection of advanced research and real-world engineering, turning ideas into prototypes and deployed systems.\nAt Maven, we build around the realities of industrial work. The robots are designed from first principles for complex physical environments and rigorous commercial standards. They master real tasks that deliver immediate impact, industrial-grade reliability, and intelligence that compounds at scale. We’re growing an ambitious team of people who think in systems, move quickly, and are builders at heart.\nAbout the Role\nWe are seeking exceptional AI researchers and engineers to architect the neural backbone of our general-purpose robots. You will design the Vision-Language-Action (VLA) frameworks or Action World Models that allow our robots to reason, adapt, and succeed where traditional automation fails.\nWe are hiring across all levels (from early-career to staff/principal). You are not expected to be a master of every domain listed below; however, you must be able to justify world-class excellence in at least one core factor (e.g., model architecture, RL formulations, or high-scale data systems).\nWhat You’ll Do\n Architect Embodied Foundations: Design model architectures (VLA, World Models, etc.) that achieve ultra-high task success rates with minimal human demonstrations\nMaster Data Efficiency: Develop novel co-training strategies and efficient learning algorithms that leverage diverse data sources-from Internet-scale video to sparse, high-fidelity human interventions\nGeneralize Cross Embodiments: Build models capable of zero-shot or few-shot adaptation to new robot configurations, maintaining a high success rate even when proprietary hardware and actuation systems evolve\nInnovate Real-World RL: Formulate and deploy novel Reinforcement Learning and policy extraction methods specifically designed for physical, real-world manipulation\nDesign the Data Loop: Collaborate on advanced data collection systems to capture critical human intervention data for model bootstrapping\nWhat We’re Looking For\n MS or PhD in CS, Robotics, Machine Learning, or a related field (or equivalent industry experience)\nDeep Technical Mastery: Advanced understanding of transformers, multi-modal alignment, and mapping perception to high-frequency motor control\nSpecialized Excellence: Proven ability to innovate-not just implement-within one or more areas: VLA models, Real-world RL, or large-scale Data Infrastructure\nSoftware Excellence: Expert-level Python and deep familiarity with PyTorch or JAX\nNice to Have\nA track record of high-impact publications (NeurIPS, ICRA, RSS, CVPR) or significant open-source contributions\nExperience with large-scale distributed training and model compression\nExperience with deployment of models to edge devices (NVIDIA Jetson/Orin) for real-time inference\nGeneral knowledge of robotics principles (kinematics, dynamics)\nEqual Opportunity\nMaven Robotics is an equal opportunity employer. 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