Machine Learning Engineer

Oracle

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$68,500–$158,200 / yr
Posted
114 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $229k
This role $113k
$43k $303k
below market most similar roles pay here above market

This role pays less than 99% of similar roles. Most pay $202,800–$254,750 — the blue band above. At the midpoint, this role pays about $113k versus about $229k 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 972 open roles on FindRole.

Listed pay typically runs $102,300–$234,600 across 789 roles with salary data.

Most-posted roles

View all roles at Oracle

At a glance

TL;DR · Machine Learning Engineer

As a Machine Learning Engineer, you will join a team focused on developing scalable, production-ready ML systems and Conversational AI solutions. You will collaborate with cross-functional partners to translate business requirements into technical designs, building high-quality software that integrates generative AI capabilities. Your daily responsibilities include designing, developing, testing, and deploying machine learning models, including large language models, for both batch and real-time use cases. You will architect scalable solutions using Python and ML frameworks such as PyTorch and TensorFlow. Additionally, you will leverage the OCI platform and third-party tools to create performant systems with low-latency serving. The role requires expertise in distributed systems, containerization, orchestration, and cloud-native architectures to solve complex problems within the generative AI and machine learning domains.

What does a Machine Learning Engineer earn in Remote?

Median $253344 from 42 postings across 13 companies.

See salary data

What you'll do

  • Design and develop scalable machine learning models using PyTorch, TensorFlow, and other ML frameworks.
  • Lead the creation of detailed design specifications for AI/ML projects and write high-quality code.
  • Build pipelines at scale for batch and real-time use cases to deploy large-language models efficiently.
  • Collaborate with product managers and data scientists to identify business opportunities and prioritize requirements.
  • Develop reusable machine learning systems using third-party tools and Oracle Cloud Infrastructure (OCI) platform.
  • Ensure the quality of work through adherence to development standards and QA procedures.

What we're looking for

  • Proficient in Python and ML frameworks like PyTorch, TensorFlow
  • Experience building scalable, reliable ML systems for production use
  • Strong understanding of large language models and generative AI capabilities
  • Ability to design and develop machine learning pipelines at scale
  • Collaborates with cross-functional teams including product managers and data scientists
  • Leads the development of new initiatives and strategic technology choices
  • Ensures quality through adherence to development standards and QA procedures

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