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Staff Machine Learning Engineer

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Staff Machine Learning Engineer in USA new

  • Tilt Finance
  • Full time
  • Email
  • Remote

Responsibilities

  • Run and improve the managed feature store, including feature definition, backfilling, serving, and use in model training and deployment.
  • Build and improve automated ML training, retraining, deployment, and model-serving platforms used across multiple data science teams.
  • Create self-service agents and tooling for feature registration, training jobs, model promotion, and monitoring.
  • Scale batch scoring and low-latency online inference with autoscaling, resource isolation, and cost controls.
  • Extend monitoring for data drift, feature drift, prediction quality, and serving health with usable alerts and dashboards.
  • Define and lead adoption of standards for model and feature versioning, lineage, testing, and documentation.
  • Gather stakeholder requirements, identify platform pain points, propose solutions, and drive projects through adoption.

Requirements

  • Deep hands-on experience as an ML platform or software engineer with a record of platforms serving many production models across multiple teams.
  • Experience with feature stores and model deployment platforms such as Databricks Feature Store, Feast, Tecton, or equivalent.
  • Strong experience with CI/CD for ML, model registries, and infrastructure as code with Terraform.
  • Cloud expertise in AWS or Azure for ML deployment, plus Kubernetes and workflow orchestration.
  • Strong understanding of batch and real-time serving, autoscaling, latency trade-offs, and cost trade-offs.
  • Experience building self-service deployment tooling adopted by data scientists and collaborating with backend engineers to launch deployments.
  • Sufficient depth in model development and common algorithms to partner technically with data scientists.
  • Ability to work independently through ambiguity, gather requirements, propose solutions, and complete projects.
  • Familiarity with PySpark, Databricks, and monitoring tools such as Evidently AI is a plus.

Benefits

  • Remote-first and virtual-first work with work-from-home office reimbursement.
  • Twice-yearly paid global company offsites.
  • Flexible health plans with substantial subsidies.
  • Direct exposure to leadership and growth opportunities based on contributions.
  • Collaboration across 14 countries and 12 time zones.

Salary: $220k - $265k/yr

Tilt Finance

Tilt Finance empowers businesses to harness the power of data-driven insights, transforming complex financial information into clear, actionable strategies. By combining advanced analytics with intuitive dashboards, we help organizations make informed decisions that drive growth and resilience. O...

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