Staff Applied Scientist

Braze
Chicago, Illinois, United States
Full Time
Hybrid
Senior
USD 184,000 – 299,812
Technology Information Technology Telecommunications

Posted 3 days ago

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Excellent 4.7

Job summary

A Staff Machine Learning Engineer role at Braze focused on developing and deploying scalable ML and AI solutions to enhance personalized customer engagement. Responsibilities include leading projects from prototype to production, setting technical vision, and mentoring engineers, with a preference for experience in distributed systems, ML frameworks, and customer engagement technologies.

Responsibilities

You will lead the development of end-to-end machine learning solutions, from prototype to production, while driving transformative initiatives for the Predictive and Generative AI team. Additionally, you will own the technical vision, mentor senior engineers, and ensure high-quality delivery across complex distributed systems.

Qualifications

Deep Learning Distributed Systems Machine Learning Model Deployment Model Lifecycle Management Model Serving Model Training Python PyTorch TensorFlow

Candidates must have 8+ years of experience building production-grade ML systems, including hands-on expertise in data science, ML engineering, and operations. Strong proficiency in distributed systems, model deployment frameworks like PyTorch or Tensorflow, and a proven track record of technical leadership are required.

English

Benefits

  • Competitive compensation
  • Equity grants
  • Retirement plans
  • Employee stock purchase plans
  • Flexible paid time off
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • Disability insurance
  • Fertility benefits
  • Paid parental leave
  • Professional development
  • Learning stipend
  • Donation matching

Company

Braze

Braze

linkedin
Software Development
Location
Chicago, Illinois, United States
Website
braze.com

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Excellent 4.7
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