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Simulation Machine Learning Postdoc Jobs (NOW HIRING)

KSB, Inc.

Machine Learning Engineer

Grovetown, GA · On-site

You'll build the data foundation that powers this work, implement and train models that bridge physics-based simulation with modern machine learning, and work closely with an experienced technical ...

Ksb

Machine Learning Engineer

Grovetown, GA · On-site

You'll build the data foundation that powers this work, implement and train models that bridge physics-based simulation with modern machine learning, and work closely with an experienced technical ...

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Simulation Machine Learning Postdoc information

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How much do simulation machine learning postdoc jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for simulation machine learning postdoc in the United States is $34.39, according to ZipRecruiter salary data. Most workers in this role earn between $25.24 and $38.94 per hour, depending on experience, location, and employer.

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For Simulation Machine Learning Postdoc jobs, the most frequently searched job titles are:

Staff Machine Learning Engineer, Simulation

Mountain View, NY • On-site

Waymo
Internet and IT • 1 - 5K employees
Learn more about Waymoexternal

Full-time

Re-posted 27 days ago

Job description

The Driver Understanding and Evaluation team at Waymo develops a rich understanding of Waymo Driver's behavior. With over 1 million driverless miles per week, it is critical that Waymo can understand and assess the behavior of all its vehicles - both in the field and in simulation - with automated algorithms. The learned metrics team is a strategic bet to use machine learning to ensure we can scale to meet Waymo's goals. We collaborate across teams to bring ML to production systems and build what is Waymo's reward function. We build and operate large-scale machine learning and data systems, simulation workflows, and insight tools. We combine expert human judgements and advanced machine learning models to deliver training and evaluation data for the Waymo driver. We are looking for researchers and software engineers who are passionate about developing production grade machine learning systems for our autonomous vehicles and have an incessant drive to improve the performance of our technology stack.

In this hybrid role, you will report to an Engineering Manager 

You will:

  • Report into the TLM for the Learned Metrics Team
  • Develop ML models that assess our autonomous vehicle's behavior.
  • Develop ML infrastructure to support performant models.
  • Collaborate across teams to bring state-of-the-art to production.

You have:

  • BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area, or equivalent work experience
  • 5+ years of experience building productionized ML models
  • Code and design skills: comfort building production systems (Python / C++)
  • Background in applied Deep Learning
  • A track record in improving model quality

We prefer:

  • 8+ years of experience building productionized ML models
  • Experience in reinforcement learning, transfer learning, or learning.
  • Experience with large scale data and models

Apply