Machine Learning Engineer

4 weeks ago

Toronto, Ontario, Canada Stripe Full time

About Stripe

Stripe is a leading financial infrastructure platform that empowers businesses to thrive in the digital economy. As a Machine Learning Engineer at Stripe, you will play a critical role in shaping the future of our platform and driving innovation in the field of artificial intelligence.

The Role

We are seeking a highly skilled Machine Learning Engineer to join our team and contribute to the development of cutting-edge AI/ML solutions. As a key member of our Machine Learning Infrastructure group, you will be responsible for designing, training, and deploying machine learning models that drive business growth and improve customer experiences.

Responsibilities

  • Design and develop machine learning models using XGBoost, TensorFlow, and PyTorch
  • Collaborate with cross-functional teams to integrate ML models into our platform
  • Develop and maintain data pipelines to support ML model training and deployment
  • Contribute to the development of ML architecture and infrastructure
  • Work with stakeholders to identify business opportunities and drive ML-driven solutions

Requirements

  • 5+ years of industry experience in machine learning engineering
  • Advanced degree in a quantitative field (e.g., computer science, statistics, physics)
  • Proficient in Python, Scala, and Spark

Preferred Qualifications

  • 5+ years of experience in full-time software development roles
  • Hands-on experience with applied ML (model training, deployment to production)
  • Knowledge of AI engineering practices and research

Hybrid Work at Stripe

This role is available for remote work with occasional in-office collaboration. We prioritize flexibility and work-life balance while fostering a sense of community and connection among team members.

Pay and Benefits

The annual US base salary range for this role is $192,000 - $288,000. Additional benefits include equity, company bonus, 401(k) plan, medical, dental, and vision benefits, and wellness stipends.

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