Machine Learning Software Engineer 5 - Promo Media & Marketing

Netflix

Los Gatos, CA, USA
Base: $466,000.00 - $750,000.00; bonus/equity: sto...
Machine learning software engineering
Python programming proficiency
Ml lifecycle pipeline development
At Netflix, our mission is to connect global stories with audiences worldwide by leveraging cutting-edge technology and creativity

Job Summary

  • At Netflix, our mission is to connect global stories with audiences worldwide by leveraging cutting-edge technology and creativity.
  • The role involves architecting and implementing robust ML pipelines and frameworks, collaborating with ML scientists and product managers, and optimizing systems for latency, throughput, and reliability.
  • Netflix offers comprehensive benefits including health plans, mental health support, 401(k) with employer match, stock options, paid leave, and a unique culture that values diversity and inclusion.

Matching Summary

At Netflix, our mission is to connect global stories with audiences worldwide by leveraging cutting-edge technology and creativity.

Salary

Base: $466,000.00 - $750,000.00; Bonus/Equity: Stock options instead of bonuses; Benefits: Comprehensive health, retirement, and paid leave plans

Skills & Requirements

Must-have

  • Machine Learning software engineering
  • Python programming proficiency
  • ML lifecycle pipeline development
  • Distributed model training with GPUs
  • Cloud infrastructure including Docker and S3
  • ML workflow orchestration tools
  • Real-time and batch ML system optimization

Nice-to-have

  • Mentorship and technical leadership
  • Collaborative cross-functional teamwork
  • Experience with generative AI models
  • Performance tuning and debugging
  • Familiarity with multimedia systems
  • Strong communication skills
  • Adaptability in fast-paced environments

Key Requirements

  • 5+ years software engineering experience
  • BSc in Computer Science or related field
  • Experience with PyTorch and ML/CV/GenAI pipelines
  • Knowledge of distributed data processing systems
  • Experience with ML orchestration tools like Metaflow or Airflow
  • Basic understanding of multi-GPU training and CUDA
  • Proven communication and mentorship skills

Work Rights

Not specified

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