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Machine Learning Engineer Two Jobs in Downers Grove, IL

Staff Machine Learning Engineer - Leasing

Chicago, IL · On-site

$17.50 - $20.50/hr

Who We Are Looking For We're hiring a Staff Machine Learning Engineer to own the ML strategy and execution that makes the Realm-X Leasing Performer production-grade, observable, and continuously ...

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance ... The Hartfordis seeking aSenior AI Machine Learning Engineerwithin Employee Benefits Applied AI and ...

Senior Machine Learning Engineer (LLMs)

Chicago, IL · On-site

$126K - $166K/yr

... engineers * An environment that values deep work, clear thinking, and real impact * Regular team events and off-sites * Equipment and learning budget to help you do your best work and keep up with ...

... engineers * An environment that values deep work, clear thinking, and real impact * Regular team events and offsites * Equipment and learning budget to help you do your best work and keep up with the ...

Senior Machine Learning Engineer (LLMs)

Chicago, IL · On-site

$126K - $166K/yr

... engineers * An environment that values deep work, clear thinking, and real impact * Regular team events and off‑sites * Equipment and learning budget to help you do your best work and keep up with ...

AI Engineer II

Houston, TX · On-site

$116K - $144K/yr

Experience with Microsoft Azure AI services (e.g., Azure Machine Learning, Azure OpenAI Service ... AI Engineer II role, we'd love to hear from you! Compensation The base salary range below ...

AI Engineer II

Chicago, IL · On-site

$116K - $144K/yr

Experience with Microsoft Azure AI services (e.g., Azure Machine Learning, Azure OpenAI Service ... AI Engineer II role, we'd love to hear from you! Compensation The base salary range below ...

Design and deploy machine learning models to enhance trading performance across various asset ... Engineering, Math, Statistics, Computer Science, or related quantitative field * 2+ years of ...

Showing results 41-60

Machine Learning Engineer Two information

See Downers Grove, IL salary details

$31.4K

$128.5K

$193.1K

How much do machine learning engineer two jobs pay per year?

As of Aug 15, 2026, the average yearly pay for machine learning engineer two in Downers Grove, IL is $128,470.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,300.00 and $154,600.00 per year, depending on experience, location, and employer.

Is machine learning engineer two a high paying job?

Machine Learning Engineer Two is generally considered a high-paying role within the tech industry, often offering salaries above the national average for engineering positions. Compensation depends on factors such as experience, location, and skills in tools like Python, TensorFlow, or cloud platforms, but it typically reflects the specialized expertise required for advanced machine learning tasks.

What are popular job titles related to Machine Learning Engineer Two jobs in Downers Grove, IL?

For Machine Learning Engineer Two jobs in Downers Grove, IL, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Two jobs in Downers Grove, IL look for?

The top searched job categories for Machine Learning Engineer Two jobs in Downers Grove, IL are:

What cities near Downers Grove, IL are hiring for Machine Learning Engineer Two jobs?

Cities near Downers Grove, IL with the most Machine Learning Engineer Two job openings:

Infographic showing various Machine Learning Engineer Two job openings in Downers Grove, IL as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $128,470 per year, or $61.8 per hour.

Principal Machine Learning Architect

Stackruit Ltd.

Naperville, IL • On-site

$130 - $160/hr

Other

Posted 10 days ago


Job description

Principal Machine Learning Engineer About Egen

Egen is a dynamic, fast-growing company with a strong focus on data. We combine top engineering talent with advanced technology platforms like Google Cloud and Salesforce to help clients harness data for impactful insights. Our team thrives on solving tough problems, continuously innovating to achieve rapid, effective results.

Role Overview

We are seeking a Principal Machine Learning Engineer to join our Data Science team. This critical role involves developing and enhancing our MLOps platform. You’ll need a unique blend of cloud architecture expertise, AI/ML knowledge, and leadership skills to build and maintain a state-of-the-art MLOps environment.

Key Responsibilities
  • Architectural Leadership: Design and lead our MLOps platform architecture, focusing on GCP Vertex AI and Kubeflow.
  • Responsible AI Solutions: Develop solutions that ensure Responsible AI, including explainability, data drift detection, and fairness metrics, adhering to ethical AI practices.
  • Developer Experience: Enhance the MLOps platform for optimal developer experience, incorporating streamlined workflows and advanced tools.
  • Collaboration: Work with AI/ML experts across domains like Computer Vision, NLP, and synthetic data, integrating the latest advancements into the platform.
  • Reliability and Observability: Partner with the AI/ML Reliability engineering team to ensure platform reliability and observability.
  • Platform Development: Bring experience in platform teams, particularly in data and AI/ML, and expand platforms to on-premises and edge deployments.
  • Cross-functional Collaboration: Collaborate with cloud teams, data scientists, and product managers to align platform development with organizational goals.
Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.
  • 10+ years of experience in technology or data fields.
  • Proficient in Python and other programming languages.
  • Strong background in AI/ML or Data Sciences technologies and platform development.
  • Broad knowledge across technology domains (data, cloud, UI, security).
  • Excellent communication, leadership, and project management skills.
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