Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$200к-300к/год
$200к$240кмедиана$250к
По похожим ролям (50) ~ $240к/год
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Чёткий фокус на ML-платформе, ответственность за production-системы и работа на стыке AI и распределённых систем делают роль перспективной; офисный формат и требования к clearance могут ограничить доступность вакансии.
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Нужен допуск
Актуальные технологии
AI в обороне
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Software Engineer ML Platform (AI) (Python/MLflow/Kubernetes): Building backend services for experiment tracking, model registries, and reproducible machine-learning workflows with an accent on metadata, artifact management, APIs, and distributed-system reliability. Focus on connecting training data, code, configuration, checkpoints, and evaluation results while designing recoverable workflows and compatible services for cloud and customer-managed environments.
Location: Onsite in San Diego or San Mateo, California, United States
Salary: $200,000–$300,000 per year, plus bonus, benefits, and equity for regular full-time employees.
Company
hirify.global is a venture-backed defense-tech company developing intelligent systems, including Hivemind autonomy software, V-BAT and X-BAT aircraft, and simulation and synthetic-reality technologies.
What you will do
Build experiment-tracking and model-registry backend services, integrating tools such as MLflow where appropriate.
Connect dataset, code, and configuration versions to training runs, checkpoints, and model versions.
Develop APIs and adapters connecting training jobs, data services, and artifact storage.
Design reliable state handling, retries, diagnostics, and recovery for interrupted or failed workflows.
Make checkpoints, model artifacts, and evaluation results searchable and retrievable for training, evaluation, and deployment.
Work with machine-learning engineers to simplify workflows and deliver tested, observable services compatible with cloud and customer-managed environments.
Requirements
Production backend-service experience for machine-learning platforms or data-intensive workflows.
Strong software-engineering skills in Python or a comparable backend language.
Experience designing APIs, metadata models, and persistent state for services used by other engineers.
Experience handling storage, partial failures, retries, and consistency in distributed systems.
Understanding of training runs, checkpoints, and model versioning.
Ability to work directly with machine-learning users and deliver maintainable software addressing workflow problems.
Nice to have
Experience with MLflow, Weights & Biases, model registries, or comparable experiment-management tools.
Experience integrating Kubernetes jobs, object storage, or machine-learning workflow systems.
Experience with reproducibility, data provenance, or evaluation records.
Experience supporting open-source software or on-premises and air-gapped deployments.
Culture & Benefits
Work on an AI platform supporting autonomy development and operational deployment in defense.
Contribute to reference architecture used internally and delivered to customers building AI capabilities.
Regular full-time employees receive pay within the listed range, bonus, benefits, and equity.
Offers are contingent on a cleared background and possible reference check.
Temporary employees receive the listed pay range and a temporary benefits package applicable after 60 days; part-time employees and military fellows are not eligible for benefits.
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