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10 дней назад

Staff Software Engineer ML Platform (AI)

200 000 - 300 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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