Principal Machine Learning Engineer, Robotics

Oracle

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
—
Salary
$126,200–$264,100 / yr
Posted
23 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $225k
This role $195k
$108k $296k
below market most similar roles pay here above market

This role pays less than 75% of similar roles. Most pay $195,787–$254,750 — the blue band above. At the midpoint, this role pays about $195k versus about $225k for comparable roles.

Based on 240 similar postings.

Employer

About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 771 open roles on FindRole.

Listed pay typically runs $103,000–$234,600 across 520 roles with salary data.

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At a glance

TL;DR · Principal Machine Learning Engineer, Robotics

The Principal Machine Learning Engineer - Robotics joins the Product and Research team to implement and productionize machine learning models. This role involves transforming prototypes into production-ready systems by automating workflows, including data extraction, transformation, and loading. You will build infrastructure and frameworks to monitor model performance, ensure data quality, and address security or privacy issues. Key responsibilities include developing efficient, bug-free code, maintaining internal tools, and collaborating with stakeholders to integrate models into existing systems. You must utilize expertise in third-party frameworks such as PyTorch, TensorFlow, and Keras. The position requires solving complex technical problems related to model scalability, stability, and maintenance within a robotics context, while providing troubleshooting support and mentoring junior team members to ensure continuous improvement of machine learning solutions.

What does a Machine Learning Engineer earn?

Median $231150 from 318 postings across 48 companies.

See salary data

What you'll do

  • Implement and transform machine learning prototypes into production-ready models.
  • Automate machine learning workflows including ETL, deployment, and continuous monitoring.
  • Create infrastructure and frameworks to monitor model performance and design alignment.
  • Evaluate and mitigate data quality, security, and privacy issues during modeling.
  • Develop, maintain, and refine internal tools, platforms, and software services.
  • Write efficient, bug-free code and maintain professional documentation for technical processes.
  • Troubleshoot and debug issues within machine learning infrastructure and workflows.
  • Mentor junior team members and participate in the candidate interview process.

What we're looking for

  • Applicants must be able to read, write, and speak English.
  • 3 to 5+ years of experience is required.
  • Experience implementing and productionizing machine learning models is required.
  • Experience automating machine learning workflows, including ETL, deployment, and monitoring, is required.
  • Proficiency in third-party machine learning frameworks such as PyTorch, TensorFlow, or Keras is required.
  • Ability to develop efficient, bug-free code from scratch and maintain existing codebases is required.
  • Experience creating infrastructure and frameworks to monitor model performance and data quality is required.
  • Ability to coach and mentor junior team members is required.

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