Staff Machine Learning Engineer

Automation Anywhere

San Jose, CA, USA
Base: $155,000 – $175,000 py; bonus/equity: eligib...
Hybrid
7+ years ml model design experience
Python proficiency required
Nlp, computer vision, genai expertise
This role involves architecting robust ML infrastructure and championing modern MLOps practices to optimize performance across distributed environments

Job Summary

  • This role involves architecting robust ML infrastructure and championing modern MLOps practices to optimize performance across distributed environments.
  • The position offers a highly visible technical leadership opportunity to translate breakthrough research into high-impact production systems used by global enterprises.
  • Candidates will benefit from flexible work schedules, unlimited personal time off, and eligibility for discretionary bonuses and equity.

Matching Summary

This role involves architecting robust ML infrastructure and championing modern MLOps practices to optimize performance across distributed environments.

Salary

Base: $155,000 – $175,000 per year; Bonus/Equity: Eligible for discretionary bonus and equity; Benefits: Full range of medical and other benefits

Skills & Requirements

Must-have

  • 7+ years ML model design experience
  • Python proficiency required
  • NLP, Computer Vision, GenAI expertise
  • End-to-end ML pipeline architecture
  • MLOps best practices implementation
  • Cloud-based ML platform experience

Nice-to-have

  • Experience fine-tuning large language models
  • Familiarity with distributed training
  • Knowledge of R and SQL
  • Ability to influence technical direction
  • Curiosity in evolving AI advancements

Key Requirements

  • 7+ years hands-on ML experience
  • Strong Python programming skills
  • Deep experience with TensorFlow and PyTorch
  • Proven track record of production deployment
  • Authorization to work in the US without sponsorship

Work Rights

Must be authorized to work in the United States

Tailored Resume

Cover Letter