Senior Backend ML Platform Engineer (Remote Canada)

Affirm, Inc.

United States

Remote

USD 120,000 - 180,000

Full time

35 hours ago
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Benefits offered by this job

Health coverage
Monthly technology stipend
Wellness stipend
Flexible time off
Holidays
Employee stock purchase plan
Remote work (Canada)

Job summary

Affirm, Inc. seeks an experienced backend engineer to build and operate shared infrastructure for training and serving machine learning models in production.

The role blends backend engineering, distributed systems, and ML platform development to deliver dependable services that accelerate model delivery. You will own team goals, mentor engineers, and collaborate with product, design, and analytics to address constraints and risks.

Qualifications

  • 4+ years designing, building, launching backend systems at scale.
  • Experience with Python or Kotlin in production.
  • Experience with highly available distributed systems and cloud infra.
  • Strong written and verbal communication for distributed teams.
  • Ownership mindset and willingness to seek feedback.

Responsibilities

  • Own team goals and guide engineers through technical work.
  • Collaborate with product, design, and analytics on constraints, risks and decisions.
  • Identify and lead efforts to address technical or operational problems.
  • Monitor service health and contribute to incident response.
  • Set and improve code review and design practices; mentor others.

Skills

Python
Kotlin
Distributed systems
Backend design
Communication

Tools

Cloud infrastructure
Container platforms
Databases

Job description

Affirm, Inc. seeks an experienced backend engineer to build and operate shared infrastructure for training and serving machine learning models in production.

The role blends backend engineering, distributed systems, and ML platform development to deliver dependable services that accelerate model delivery. You will own team goals, mentor engineers, and collaborate with product, design, and analytics to address constraints and risks.

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