Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$240к-350к/год
$220к$250кмедиана$300к
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Отличная вакансия
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Роль четко сосредоточена на крупномасштабном предобучении AI-моделей для робототехники и дает доступ к передовым исследованиям; главный компромисс - обязательная работа в офисе.
Только офис
Передовые исследования
Опытная команда
Современный стек
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Research Scientist: Pretraining (AI/Robotics): Building large-scale embodied foundation models for robotics from multimodal datasets with an accent on transformer and diffusion architectures, scalable data mixtures, and distributed training. Focus on designing pretraining objectives and curricula, analyzing scaling laws and failure modes, and improving cluster throughput and reliability.
Location: Boston (Somerville), United States; onsite
Salary: $240K–$350K per year, plus equity
Company
hirify.global builds embodied foundation models for the physical world, combining large-scale AI and robotics to enable robots to intelligently interact with their environments.
What you will do
Design and execute large-scale pretraining runs for robot foundation models using transformer- and diffusion-based architectures.
Define model architectures, objectives, and training curricula across vision, action, state, and language data.
Develop scalable data mixtures and sampling strategies for petabyte-scale datasets.
Guide data collection toward new directions and source new datasets.
Run ablations on scaling laws, data quality effects, and architecture tradeoffs.
Collaborate with ML Infrastructure and Systems teams to improve cluster utilization, throughput, and reliability, turning raw robotic interaction data into generalizable capabilities.
Requirements
Senior or staff-level experience, described as L6+.
Deep experience training large transformer or diffusion models at scale, including generative language, audio, video, multimodal, or related models.
Experience leading or significantly contributing to multi-node, multi-GPU distributed training.
Experience with scaling laws, optimization dynamics, and large-model failure modes.
Strong PyTorch fundamentals and the ability to debug across every layer of the stack.
Commitment to empirical rigor and rapid iteration.
Interest in building general-purpose robot intelligence from first principles.
Culture & Benefits
Full-time onsite work in Boston (Somerville).
Work alongside researchers, roboticists, and company builders with experience from frontier AI, robotics, and autonomous-driving organizations.
Compensation includes equity in addition to the stated salary.
Equal opportunity employment with no discrimination based on legally protected characteristics.
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