Senior Machine Learning Engineer

Kard
United States
Workplace: RemoteFull timeUSD 160,000 - 190,000 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsSkills: ["System design","Collaboration","Communication","Mentorship","Documentation"]

Design, build, and operate production machine learning systems that power personalization, recommendations, optimization, experimentation/measurement, and decisioning. Own the full ML lifecycle from feature pipelines through training, evaluation, model serving, monitoring, drift detection, retraining, and governance across batch and real-time workloads. Build reusable ML platforms and tooling that improve reliability and developer speed, and provide technical leadership through architecture, engineering standards, and mentorship.

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FursaFursa
Kard
Kard
3 days ago

Senior Machine Learning Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live

Job Summary

Design, build, and operate production machine learning systems that power personalization, recommendations, optimization, experimentation/measurement, and decisioning. Own the full ML lifecycle from feature pipelines through training, evaluation, model serving, monitoring, drift detection, retraining, and governance across batch and real-time workloads. Build reusable ML platforms and tooling that improve reliability and developer speed, and provide technical leadership through architecture, engineering standards, and mentorship.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, build, and operate end-to-end machine learning systems across batch and real-time workloads, including features, training, evaluation, deployment, inference, and retraining.
  • •Develop production capabilities for personalization, recommendations, ranking, optimization, contextual decisioning, experimentation, and measurement.
  • •Build reusable ML platforms, pipelines, frameworks, and tooling to improve reproducibility, self-service, reliability, and development speed.
  • •Own operational lifecycle of production models, including observability, data/model quality, drift detection, performance monitoring, failure handling, retraining, and governance.
  • •Provide technical leadership for ML architecture and distributed systems, including pragmatic tradeoffs and technical reviews/standards.

Pay and Benefits

Salary: USD 160,000 - 190,000 annually
Perks:Health InsuranceDentalVision401kRemote Work

Key Requirements

  • •8+ years of professional software engineering or machine learning engineering experience.
  • •Proven experience building, deploying, and operating machine learning systems in production.
  • •Strong software engineering fundamentals across system design, APIs, testing, deployment, observability, and maintainable production code.
  • •Experience designing distributed systems and large-scale data-processing workflows, including high-throughput/low-latency services.
  • •Ability to investigate production issues across models, data, application code, and infrastructure.
Experience:8+ years
Skills:System designCollaborationCommunicationMentorshipDocumentation
Languages:English
Tech Stack:PythonApache SparkDatabricksMLflowFeature storesAWSKubernetesAmazon EKSTerraformModel-serving platforms

Company Brief

Kard
Kard is a digital banking app that provides prepaid cards and money management tools aimed at teenagers and families, enabling safe payments, parental controls, and financial education for young users.
Industry: Neobanking
Company Size: Small (11 to 50 employees)
Headquarters: Paris, France
Website