Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятный фокус на робототехнике и ИИ, а также заметная ответственность за оценку качества, но без зарплаты и при обязательной работе в офисе сложнее оценить привлекательность предложения.
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Зарплата не указанаТолько офисСовременный стекРобототехника и ИИЧёткая зона ответственности
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Robotics Software Engineer, Mission Evaluation & Fine-Tuning (Robotics/AI): Building evaluation loops, datasets, regression suites, and fine-tuning workflows for robotic inspection behavior with an accent on field evidence, vision and vision-language models, and release-level metrics. Focus on diagnosing mission failures across navigation, localization, perception, and behavior, designing statistically rigorous experiments, and moving robot evidence into training sets and dashboards.
Location: Irvine, California, United States; on-site
Company
hirify.global is hiring for its Engineering – Mission, Interaction & Intelligence department.
What you will do
Own the end-to-end inspection behavior success metric.
Build golden-labeled datasets, seeded-fault runs, and regression suites at feature, system, and release levels to gate release candidates.
Turn field evidence into training and evaluation sets and connect technical performance to customer-measured metrics.
Triage mission logs and make failures legible by attributing misses to navigation, localization, perception, or behavior.
Route diagnosed failures to the owning team with supporting evidence.
Requirements
MS in computer science, robotics, aerospace engineering, or a related field, plus 3+ years of experience in robotics or ML engineering.
Strong Python and working C++ skills.
Comfort working with ROS 2 logs, bags, and replay tooling.
Experience evaluating and fine-tuning vision or vision-language models using PyTorch, LoRA, or similar approaches.
Experience building datasets and metrics for vision or vision-language models.
Statistical rigor, including distinguishing benchmark numbers from field results and designing experiments that separate them.
Data pipeline skills for moving evidence from robots to training sets and dashboards.
Nice to have
Authorship or maintenance of a robotics benchmark, evaluation suite, or challenge.
Simulation-based evaluation and sim-to-real validation experience.
MLOps experience for on-edge models, including quantization, versioning, and fleet rollout.
Industrial inspection, gauge reading, or anomaly detection experience.
Culture & Benefits
Full-time, on-site work in Irvine, California.
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