Назад
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23 часа назад

Senior Software Engineer, AI/ML Platform

197 000 - 307 000$
Формат работы
hybrid
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

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TL;DR
Senior Software Engineer, AI/ML Platform (Robotics/MLOps): Building the machine learning platform for fleet-scale humanoid robotics, including data processing, training, evaluation, deployment, model management, and observability with an accent on reproducible workflows and production-grade infrastructure. Focus on designing scalable ML orchestration across cloud compute and Kubernetes, developing model registries and developer-facing tools, and enabling continuous retraining and delivery for robot foundation models.

Location: Hybrid at an hirify.global office in Fremont, CA; Salem, OR; or Pittsburgh, PA. All roles are U.S.-based, and applicants must have current authorization to work in the United States.

Anticipated base salary: $197,000–$307,000 USD annually, depending on market location, knowledge, skills, and experience.

Company

hirify.global develops commercially deployed humanoid robots for warehouses, manufacturing facilities, and distribution centers, using automation to support workers with physically demanding and repetitive tasks.

What you will do

  • Design and implement the ML platform supporting data processing, training, evaluation, deployment, and the end-to-end AI flywheel.
  • Develop reliable workflows across cloud compute, Kubernetes, and continuous automation.
  • Build model registry, feature store, experiment tracking, and model management infrastructure.
  • Own developer-facing APIs and CLI tools that make ML workflows simple and reproducible.
  • Implement CI/CD for continuous retraining, automated testing, and model delivery to production.
  • Collaborate with AI researchers, robotics engineers, and data platform engineers to integrate orchestration and metadata tracking with existing data lakes and pipelines.

Requirements

  • 5+ years of software engineering experience, including at least 2+ years working on ML infrastructure, data platforms, or production MLOps systems.
  • Experience building and maintaining ML platform components such as experiment tracking, model registries, training pipelines, or deployment systems.
  • Familiarity with ML orchestration and tracking tools including MLflow, WandB, Airflow, or Kubeflow.
  • Proficiency with cloud-native platforms such as AWS, GCP, or Azure, plus containers and infrastructure as code such as CDK or Terraform.
  • Hands-on experience processing or modeling multimodal data, including sensor logs, camera streams, and behavior traces.
  • Ability to collaborate with research scientists, data engineers, and robotics or autonomy teams to deliver infrastructure used by others.
  • Applicants must have current authorization to work in the United States.

Nice to have

  • Experience with robotics, autonomous vehicles, drones, or embedded ML.
  • Contributions to open-source ML infrastructure or MLOps tooling.

Culture & Benefits

  • Remote-friendly culture with flexible work arrangements and a distributed engineering team, within the U.S.-based role structure.
  • Full-time employees receive a 401(k) plan with a 6% company match, equity, and company-paid medical, dental, vision, and short- and long-term disability insurance.
  • Benefits begin on the first day of employment; available time off includes flexible unlimited PTO for exempt employees or vacation and paid sick leave for non-exempt employees, plus 12 company holidays and a winter shutdown.
  • Additional benefits include paid parental leave, professional development and tuition reimbursement, employee assistance support, eligible relocation assistance, and an annual discretionary bonus.
  • Catered lunches are available four times per week at the Salem and Pittsburgh locations.

Hiring process

  • Apply directly through the hirify.global careers page; unsolicited third-party recruiting agency referrals are not accepted, and represented applications may not be considered.

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