ML Infrastructure Software Engineer in Toronto

ML Infrastructure Software Engineer in Toronto

Toronto Full-Time 123750 - 151250 $ / year (est.) On-site
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At a Glance

  • Tasks: Build and enhance ML infrastructure systems that support innovative applications.
  • Company: Join Stripe, a leader in payment solutions and technology.
  • Benefits: Competitive salary, flexible work options, and opportunities for growth.
  • Other info: Collaborative environment with exciting challenges and career advancement.
  • Why this job: Make a real impact on machine learning projects and revolutionize payment solutions.
  • Qualifications: 2+ years in software development with experience in ML setups.

The predicted salary is between 123750 - 151250 $ per year.

Join the ML Infra team at Stripe as a Software Engineer specializing in infrastructure.

You'll build vital systems that support machine learning applications while enhancing overall project efficiency.

As part of a leading team, you will tackle challenges in the ML lifecycle, focusing on reliable service architecture and aiding ML engineers in their work.

The role requires strong technical skills and an ability to adapt solutions for broader impact across teams.

A passion for developing high-performance systems is key.

Key

Responsibilities

  • Architect and develop secure ML infrastructure services
  • Create smooth transition libraries for ML engineers
  • Collaborate with product and engineering teams
  • Tackle technical challenges across platforms

Requirements

  • 2+ years in a software development role
  • Familiarity with full software development cycles
  • Experience with production ML setups
  • Knowledge of high availability, low latency systems
  • Strong teamwork and communication skills

Help revolutionize payment solutions with your expertise in machine learning at Stripe. #J-18808-Ljbffr

ML Infrastructure Software Engineer in Toronto employer: EngineersOfAI

Stripe is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for ML Infrastructure Software Engineers. With a strong emphasis on employee growth, you will have access to cutting-edge technology and the opportunity to work alongside talented professionals in a dynamic environment. Located in a vibrant tech hub, Stripe offers unique advantages such as flexible work arrangements and a commitment to diversity and inclusion, ensuring that every team member can thrive both personally and professionally.

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Contact Details:

EngineersOfAI Recruitment Team

We think you need these skills to ace ML Infrastructure Software Engineer in Toronto

Software Development
Machine Learning Infrastructure
Service Architecture
Transition Libraries
Collaboration
Technical Problem-Solving
High Availability Systems