Staff Applied Scientist

Braze
New York, New York, 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

Seeking a Staff Machine Learning Engineer to lead ML solutions, infrastructure, and models deployment at scale for customer engagement. Requires extensive experience in ML systems, pipelines, distributed systems, and proficiency with frameworks like PyTorch and TensorFlow.

Responsibilities

You will lead the development of predictive and generative AI solutions from prototype to production while building the ML platform that supports them. Additionally, you will drive technical initiatives, set quality standards, and mentor senior engineers across the organization.

Qualifications

Data Pipelines Deep Learning Distributed Systems Machine Learning ML Platforms (e.g., MLflow, Ray) Model Deployment Model Lifecycle Management PyTorch Recommender Systems TensorFlow

Candidates must have 8+ years of experience building production-grade ML systems with hands-on expertise in data science and ML operations. Strong proficiency in distributed systems, model deployment, and technical leadership is required to succeed in this role.

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
New York, New York, United States
Website
braze.com

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Excellent 4.7
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