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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Крутая вакансия
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Это четко описанная стартовая роль с практической работой над embodied AI и возможным переходом к позиции исследователя. При этом формат стартапа и обязательная работа на месте могут означать меньше предсказуемости, чем в зрелой компании.
?Стартап и офис
Понятные задачи
Передовой AI
Рост в исследования
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Research Assistant (AI/Robotics): Designing, running, and analyzing experiments for embodied foundation models and robot evaluations with an accent on experimental design, data quality, and statistical rigor. Focus on preparing physical robot setups, collecting and analyzing real-world data, distinguishing model improvements from noise, and building repeatable evaluation workflows.
Location: Onsite in the San Francisco Bay Area (San Mateo), United States
Company
hirify.global builds embodied foundation models for robots, combining artificial intelligence, robotics, data, models, and hardware to enable intelligent interaction with the physical world.
What you will do
Run structured experiments and evaluations on robot platforms, including physical tasks, materials, fixtures, sensors, workspaces, and benchmarks.
Collect high-quality robot data, track experimental conditions, and measure real-world success rates across tasks, robots, and model variants.
Design evaluations with controls, repeatability, sample sizes, statistical rigor, and bias analysis.
Analyze results to distinguish genuine model improvements from noise and communicate findings to ML researchers and robotics engineers.
Kick off training jobs, run evaluations, beta test tools for teaching robots new skills, and organize results.
Troubleshoot physical setups and hardware issues while improving documentation, data quality, experimental reliability, and operational throughput.
Requirements
Entry-level profile with less than 3 years of machine learning research experience.
Experience running experiments, lab studies, field studies, data collection workflows, or structured evaluations.
Understanding of experimental design, confounding factors, controls, sample sizes, variance, and the conclusions supported by data.
Diligence and attention to detail, especially when repetitive tasks contain subtle differences.
Comfort with hands-on work involving physical systems, equipment, materials, or instruments.
Ability to follow protocols while identifying problems and opportunities for improvement.
Ability to coordinate robots, materials, tasks, data, model versions, metrics, and documentation.
Clear communication skills and ability to summarize what happened, what changed, and what the evidence suggests.
Curiosity about machine learning and robotics, with some exposure to programming, data analysis, robotics, hardware, electronics, mechanical assembly, or experimental tooling.
Culture & Benefits
Fast iteration, careful measurement, empirical progress, and hands-on experimentation are emphasized over abstract theory alone.
Work closely with ML researchers and robotics engineers on real-world robot experiments.
The role is designed as a potential career path toward contributing as a Research Scientist.
hirify.global is an equal opportunity employer and does not discriminate on the basis of legally protected characteristics.
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