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Staff Machine Learning Engineer

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Staff Machine Learning Engineer in USA

  • Austin, TX

Responsibilities

  • Drive transformative initiatives for ML production infrastructure, including queueing, orchestration, deployment, cloud identity, and infrastructure retirement.
  • Build and operate multi-region model-serving fleets, customer-specific model pipelines, and CI and deployment tooling.
  • Set the technical vision and production quality bar for model training, deployment, serving, observability, reliability, and cost efficiency.
  • Lead incident response for ML systems and coordinate initiatives across shared infrastructure, deployment, and data-platform teams.
  • Raise engineering quality through design reviews, code reviews, production readiness practices, and mentoring.
  • Connect technical decisions to customer and business outcomes and represent the team’s technical perspective to leadership.

Requirements

  • 8+ years building and operating distributed systems in production, including deployment, operations, scalability, reliability, CI/CD, and infrastructure as code.
  • Hands-on experience with production ML workloads such as training pipelines, model serving, feature systems, or ML platform tooling.
  • Technical leadership experience setting team direction, leading multi-quarter cross-team initiatives, and developing senior engineers while maintaining high personal output.
  • Deep working knowledge of Kubernetes and cloud infrastructure, including identity and access management, networking, and cost management.
  • Strong verbal and written communication skills with the ability to build consensus and drive decisions.
  • Preferred experience with Celery, RabbitMQ, Kafka, Ray, MLflow, model registries, feature stores, ML observability, Python, Ruby on Rails, MongoDB, Redis, SOX, HIPAA, customer engagement, personalization, or marketing technology.

Benefits

  • Base pay for U.S. candidates is listed at $184,000-$314,000 per year, with potential equity through restricted stock units; compensation figures excluded from structured benefits.
  • Hybrid work arrangement with a curated in-office employee experience.
  • Retirement and Employee Stock Purchase Plans, flexible paid time off, and medical, dental, vision, life, and disability coverage.
  • Fertility benefits and equal paid parental leave.
  • Professional development through career pathing, learning platforms, and a yearly learning stipend.
  • Volunteer Week, donation matching, Employee Resource Groups, and a collaborative workplace culture.

Salary: $184k - $314k/yr

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