Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$137к-222к/год
$210к$240кмедиана$260к
По похожим ролям (49) ~ $240к/год
На СНГ рынке: $4.1к/мес ($3.5к - $5.6к)
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Company hidden предлагает четко очерченную исследовательскую роль в AI и сильный пакет льгот, но зарплата заметно ниже бенчмарка для сопоставимых senior-позиций, а в описании возможны переработки и работа вне обычных часов.
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Ниже рынкаРиск переработокСовременный стекЧеткая специализацияСильный пакет льготAI в транспорте
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Researcher (AI): Developing networked World Models, multi-agent AI, and predictive-control systems for connected and intelligent mobility with an accent on real-time deployment across cloud, edge, and embedded platforms. Focus on designing distributed architectures, validating algorithms with transportation datasets and simulations, publishing research, and generating intellectual property for autonomous transportation.
Location: Mountain View, California, United States; full-time, onsite. Must already have the right to work in the United States and must not require hirify.global immigration support or sponsorship now or in the future. Overtime, after-hours work, and domestic and international travel may be required.
Annual base salary: $136,600–$221,900.
Company
hirify.global develops mobility solutions and advanced research for connected, cooperative, and intelligent transportation systems.
What you will do
Develop networked World Models for cooperative understanding, prediction, and decision-making across connected mobility ecosystems.
Design and evaluate distributed and collaborative World Model architectures for interaction among connected agents and systems.
Optimize AI models for real-time deployment across cloud, edge, and embedded computing environments while balancing performance and resource constraints.
Research World Model-based model predictive control for mobility planning and control, and implement, test, and validate algorithms using large-scale simulations and real-world transportation datasets.
Create proof-of-concept solutions for connected and intelligent transportation systems.
Publish findings in leading conferences and journals and generate intellectual property through invention disclosures, patents, and other innovations.
Requirements
PhD in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, or a related engineering discipline.
3+ years of post-PhD research experience focused on artificial intelligence, machine learning, robotics, autonomous systems, or closely related technical domains.
Demonstrated expertise in machine learning, deep learning, or artificial intelligence, with hands-on experience applying advanced algorithms to complex research problems.
Experience in at least two of the following areas: World Models and predictive modeling; multi-agent systems and agentic AI; reinforcement learning and decision-making; knowledge distillation and model compression.
Strong programming experience with Python and modern machine learning frameworks such as TensorFlow or PyTorch.
Demonstrated research publication record in top-tier conferences or journals such as NeurIPS, ICML, CVPR, or AAAI.
Willingness to work overtime and after hours and to travel domestically and internationally as needed.
Nice to have
Experience with vehicle-to-everything communications, connected vehicle technologies, or intelligent mobility systems.
Hands-on experience with simulation platforms such as CARLA, Gazebo, SUMO, or ROS.
Experience with mobility and autonomous driving datasets such as nuScenes, Waymo, or OpenDV.
Research experience with foundation models, including large language models, vision-language models, and other large-scale AI architectures.
Deep expertise in fine-tuning, evaluating, and applying advanced AI models to transportation and mobility challenges.
Culture & Benefits
Teamwork-focused, flexible, and respectful work environment.
Professional growth and development programs, including tuition reimbursement.
Team Member Vehicle Purchase Discount and hirify.global Team Member Lease Vehicle Program, if applicable.
Comprehensive health care and wellness plans for the employee's family.
401(k) savings plan with company match and annual retirement contribution, if applicable.
Paid holidays, paid time off, tax-advantaged accounts, family support referral services, and relocation assistance, if applicable.
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