Foundry Automation Ml Engineer

Inteelabs

Hillsboro, Oregon, USA
Base: $149,750.00-275,580.00 usd; bonus/equity: st...
On-site
Mlops best practices
Kubernetes and/or ml automation pipelines
Python with robust unit testing
Inteelabs is seeking an experienced ML Engineer to develop AI-powered solutions for its semiconductor manufacturing processes, focusing on machine learning workflows and infrastructure. The role requires strong programming skills, experience in ML and software engineering, and familiarity with cloud technologies

Job Summary

  • As a Machine Learning Engineer in IFA, you will play a pivotal role in building cutting-edge machine learning workflows and infrastructure that enable Foundry to produce AI models and sustain them in production.
  • You will work with a team of experienced engineers to build, deploy, and scale ML-powered services on our cloud infrastructure including designing, building, and maintaining scalable ML pipelines.
  • We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation.

Matching Summary

Match Score: 85

Inteelabs is seeking an experienced ML Engineer to develop AI-powered solutions for its semiconductor manufacturing processes, focusing on machine learning workflows and infrastructure. The role requires strong programming skills, experience in ML and software engineering, and familiarity with cloud technologies.

Salary

Base: $149,750.00-275,580.00 USD; Bonus/Equity: stock bonuses; Benefits: health, retirement, and vacation

Skills & Requirements

Must-have

  • MLOps best practices
  • Kubernetes and/or ML automation pipelines
  • Python with robust unit testing
  • Image analytics libraries like OpenCV
  • Machine learning frameworks like PyTorch
  • Algorithm Optimization for CPUs and GPUs

Nice-to-have

  • Applied problems in semiconductor manufacturing
  • Fine-tuning Visual Language models
  • Experience driving solutions and leading initiatives
  • Creating prototypes and demos

Key Requirements

  • 5+ years of industry experience with Bachelors degree
  • 3+ years of industry experience with Masters degree
  • 6+ months of industry experience with PhD
  • Experience with software engineering principles
  • Proven ability to develop and deploy ML models
  • Solid foundation in machine learning algorithms

Work Rights

Not specified

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